iot_module2.pdf

Module 2
Smart Objects: The “Things” in IoT

 Sensors are fundamental building blocks of IoT networks
 Sensors are the foundational elements found in smart
objects—the “things” in the Internet of Things
 Smart objects are any physical objects that contain
embedded technology to sense and/or interact with
their environment in a meaningful way by being
interconnected and enabling communication
among themselves or an external agent.

SENSORS, ACTUATORS, AND SMART OBJECTS
 A sensor: It senses
 More specifically, a sensor measures some physical
quantity and converts that measurement reading into a
digital representation.
 That digital representation is typically passed to another
device for transformation into useful data that can be
consumed by intelligent devices or humans
 Sensors are not limited to human-like sensory data.
 They are able to provide an extremely wide spectrum of rich
and diverse measurement data with far greater precision than
human senses

Categories
 Active or passive:
 Sensors can be categorized based on whether they produce an
energy output and typically require an external power
supply (active) or
 Whether they simply receive energy and typically require no
external power supply (passive).
 Invasive or non-invasive:
 Sensors can be categorized based on whether a sensor is part
of the environment it is measuring (invasive) or
 External to it (non-invasive).

 Contact or no-contact:
 Sensors can be categorized based on whether they require
physical contact with what they are measuring
(contact) or not (no-contact).
 Absolute or relative:
 Sensors can be categorized based on whether they
measure on an absolute scale (absolute) or based on a
difference with a fixed or variable reference value
(relative).

 Area of application:
 Sensors can be categorized based on the specific industry
or vertical where they are being used.
 How sensors measure:
 Sensors can be categorized based on the physical
mechanism used to measure sensory input (for
example, thermoelectric,electrochemical,piezoresistive,optic,electric,
fluid mechanic,photoelastic).

 What sensors measure:
 Sensors can be categorized based on their applications
or what physical variables they measure.
 Note that this is by no means an exhaustive list, and there are
many other classification and taxonomic schemes for sensors,
including those based on material, cost, design, and other
factors

Categorization based on what physical phenomenon a
sensor is measuring

Precision agriculture (smart farming)
 which uses a variety of technical advances to improve the efficiency,
sustainability, and profitability of traditional farming practices.
 This includes the use of GPS and satellite aerial imagery for determining field
viability; robots for high-precision planting, harvesting, irrigation, and so on; and
real-time analytics and artificial intelligence to predict optimal crop yield, weather
impacts,and soil quality.
 Among the most significant impacts of precision agriculture are those dealing
with sensor measurement of a variety of soil characteristics. These
include real- time measurement of soil quality, pH levels, salinity, toxicity levels,
moisture levels for irrigation planning, nutrient levels for fertilization planning, and
so on.
 All this detailed sensor data can be analyzed to provide highly valuable and
actionable insight to boost productivity and crop yield.

IoT Use Case: Area of precision agriculture
(smart farming)
 biodegradable, passive microsensors to measure soil and crop and
conditions
.
 These sensors, developed at North Dakota State University
(NDSU), can be planted directly in the soil and left in the ground
to biodegrade without any harm to soil quality.

Figure 3-1 Biodegradable Sensors Developed by NDSU for Smart Farming

Figure 3-3 Growth and Predictions in the Number of Sensors

Actuators
 Actuators are natural complements to sensors
 Sensors are designed to sense and measure practically any
measurable variable in the physical world.
 They convert their measurements (typically analog) into
electric signals or digital representations that can be
consumed by an intelligent agent (a device or a human).
 Actuators, on the others hand, receive some type of
control signal (commonly an electric signal or
digital command) that triggers a physical effect,
usually some type of motion, force, and so on.
 Sensors provide the information,actuators provide the
action

 Actuators also vary greatly in function, size, design, and so on.
 Some common ways that they can be classified include the
following:
 Type of motion: Actuators can be classified based on the type of
motion they produce (for example, linear, rotary, one/two/three-
axes).
 Power: Actuators can be classified based on their power output
(for example, high power, low power, micro power)
 Binary or continuous:Actuators can be classified based on the
number of stable-state outputs.
 Area of application:Actuators can be classified based on the
specific industry or vertical where they are used.
 Type of energy:Actuators can be classified based on their
energy type.

Classification based on energy type

Micro-Electro-Mechanical Systems (MEMS)
 Interesting advances in sensor and actuator technologies is in how
they are packaged and deployed.
 Micro-electro-mechanical systems (MEMS), sometimes simply
referred to as micro-machines, can integrate and combine electric and
mechanical elements, such as sensors and actuators, on a very small
(millimeter or less) scale.
 One of the keys to this technology is a microfabrication
technique that is similar to what is used for microelectronic
integrated circuits.
 This approach allows mass production at very low costs

 The combination of tiny size, low cost, and the ability to mass
produce makes MEMS an attractive option for a huge number of
IoT applications.
 MEMS devices have already been widely used in a variety of
different applications and can be found in very familiar
everyday devices.
 For example, inkjet printers use micropump MEMS.
 Smart phones also use MEMS technologies for things
like accelerometers and gyroscopes.
 In fact, automobiles were among the first to commercially
introduce MEMS into the mass market, with airbag
accelerometers.

Figure 3-6 Torsional Ratcheting Actuator (TRA) MEMS (Courtesy Sandia National
Laboratories, SUMMiT™ Technologies, www.sandia.gov/mstc.)

Smart Objects
 Smart objects are, quite simply, the building blocks of IoT.
 They are what transform everyday objects into a
network of intelligent objects that are able to learn
from and interact with their environment in a
meaningful way
 The real power of smart objects in IoT comes from being
networked together rather than being isolated as standalone
objects

 If a sensor is a standalone device that simply measures the
humidity of the soil, it is interesting and useful, but it isn’t
revolutionary
 If that same sensor is connected as part of an intelligent
network that is able to coordinate intelligently with
actuators to trigger irrigation systems as needed based on
those sensor readings, we have something far more powerful
 Extending that even further, imagine that the coordinated
sensor/actuator set is intelligently interconnected with
other sensor/actuator sets to further coordinate
fertilization,pest control,and so on—and even communicate
with an intelligent backend to calculate crop yield potential

 A smart object, is a device that has, at a minimum, the
following four defining characteristics

 Processing unit:
 Some type of processing unit for
 Acquiring data,
 Processing and analyzing sensing information
received by the sensor(s),
 Coordinating control signals to any actuators, and
 Controlling a variety of functions on the smart
object, including the communication and power systems
 The most common is a microcontroller because of its
small form factor, flexibility, programming simplicity,
ubiquity, low power consumption, and low cost

 Sensor(s) and/or actuator(s):
 A smart object is capable of interacting with the physical
world through sensors and actuators
 Communication device:
 The communication unit is responsible for connecting a
smart object with other smart objects and the
outside world (via the network).
 Communication devices for smart objects can be either
wired or wireless

 Power source:
 Smart objects have components that need to be powered.
 The most significant power consumption usually comes from
the communication unit of a smart object

Trends in Smart Objects
 Size is decreasing
 Power consumption is decreasing
 Processing power is increasing
 Communication capabilities are improving
 Communication is being increasingly standardized

SENSOR NETWORKS
 A sensor/actuator network (SANET), is a network of sensors
that sense and measure their environment and/or
actuators that act on their environment
 The sensors and/or actuators in a SANET are capable of
communicating and cooperating
 Effective and well-coordinated communication and
cooperation is a prominent challenge, primarily because the
sensors and actuators in SANETs are diverse, heterogeneous, and
resource-constrained

 SANETs offer highly coordinated sensing and actuation
capabilities.
 Smart homes are a type of SANET that display this
coordination between distributed sensors and actuators
 For example, smart homes can have temperature sensors
that are strategically networked with heating, ventilation, and
air-conditioning (HVAC) actuators.
 When a sensor detects a specified temperature, this can
trigger an actuator to take action and heat or cool the home
as needed.

 Advantages and disadvantages that a wireless-based solution
offers:
Advantages:
 Greater deployment flexibility (especially in extreme
environments or hard-to-reach places)
 Simpler scaling to a large number of nodes
 Lower implementation costs
 Easier long-term maintenance
 Effortless introduction of new sensor/actuator nodes
 Better equipped to handle dynamic/rapid topology changes
Disadvantages:
 Potentially less secure (for example, hijacked access points)
 Typically lower transmission speeds
 Greater level of impact/influence by environment

Wireless Sensor Networks (WSNs)
 Wireless sensor networks are made up of wirelessly
connected smart objects, which are sometimes referred to
as motes.
 The fact that there is no infrastructure to consider
withWSNs is surely a powerful advantage for flexible
deployments, but there are a variety of design constraints
to consider with these wirelessly connected smart objects

 The following are some of the most significant limitations of
the smart objects inWSNs:
 Limited processing power
 Limited memory
 Lossy communication
 Limited transmission speeds
 Limited power
 Note
 Smart objects with limited processing, memory, power, and
so on are often referred to as constrained nodes.

 These limitations greatly influence howWSNs are designed,
deployed, and utilized.
 The fact that individual sensor nodes are typically so limited
is a reason that they are often deployed in very large
numbers.
 As the cost of sensor nodes continues to decline, the ability
to deploy highly redundant sensors becomes increasingly
feasible.
 Because many sensors are very inexpensive and
correspondingly inaccurate, the ability to deploy smart
objects redundantly allows for increased accuracy

 Such large numbers of sensors permit the introduction
of hierarchies of smart objects.
 Such a hierarchy provides, among other organizational
advantages, the ability to aggregate similar sensor
readings from sensor nodes that are in close
proximity to each other

 . Figure 3-9 shows an example of such a data aggregation function in a
WSN where temperature readings from a logical grouping of
temperature sensors are aggregated as an average temperature
reading.
Figure 3-9 Data Aggregation in Wireless Sensor Networks

 These data aggregation techniques are helpful in reducing the
amount of overall traffic (and energy) inWSNs with very large
numbers of deployed smart objects.
 This data aggregation at the network edges is where fog and
mist computing are critical IoT architectural elements needed to
deliver the scale and performance required by so many IoT use
cases

 Wirelessly connected smart objects generally have one of the
following two communication patterns:
 Event-driven:
 Transmission of sensory information is triggered only when a smart object
detects a particular event or predetermined threshold.
 Periodic:
 Transmission of sensory information occurs only at periodic intervals.
 The decision of which of these communication schemes is used depends
greatly on the specific application
 For example:medical use cases

 For example, in some medical use cases, sensors
periodically send postoperative vitals, such as
temperature or blood pressure readings. In other
medical use cases, the same blood pressure or
temperature readings are triggered to be sent only
when certain critically low or high readings are
measured.

Communication Protocols for Wireless
Sensor Networks
 There are literally thousands of different types of sensors and actuators.
 WSNs are becoming increasingly heterogeneous, with more sophisticated
interactions.
 Any communication protocol must be able to scale to a large
number of nodes.
 Likewise, when selecting a communication protocol, you must
carefully take into account the requirements of the specific
application and consider any trade-offs the communication
protocol offers between power consumption, maximum
transmission speed, range, tolerance for packet loss, topology
optimization,security,and so on

 They must also enable, as needed, the overlay of autonomous
techniques (for example, self-organization, self-healing, self-
configuration)
 Wireless sensor networks interact with their environment. Sensors often
produce large amounts of sensing and measurement data that needs to
be processed. This data can be processed locally by the nodes of
aWSN or across zero or more hierarchical levels in IoT networks.
 Communication protocols need to facilitate routing and
message handling for this data flow between sensor
nodes as well as from sensor nodes to optional gateways, edge
compute,or centralized cloud compute

 standardization of communication protocols is a
complicated task.
 While there isn’t a single protocol solution, there is
beginning to be some clear market convergence around
several key communication protocols.

Connecting Smart Objects
 IoT devices and sensors must be connected to the network
for their data to be utilized.
 In addition to the wide range of sensors, actuators, and smart
objects that make up IoT, there are also a number of different
protocols used to connect them

COMMUNICATIONS CRITERIA
 The characteristics and attributes you should consider
when selecting and dealing with connecting smart
objects
 Range
 Frequency Bands:
 Power Consumption:
 Topology
 Constrained Devices:
 Constrained-Node Networks:

 Range
 How far does the signal need to be propagated?
 That is, what will be the area of coverage for a selected
wireless technology?
 Should indoor versus outdoor deployments be differentiated?

 Short range:
 The classical wired example is a serial cable.
 Wireless short-range technologies are often considered as an
alternative to a serial cable, supporting tens of meters of
maximum distance between two devices.
 Examples of short-range wireless technologies are IEEE
802.15.1 Bluetooth and IEEE 802.15.7Visible Light
Communications (VLC)

 Medium range:
 This range is the main category of IoT access technologies.
 In the range of tens to hundreds of meters, many
specifications and implementations are available.
 The maximum distance is generally less than 1 mile
between two devices
 Examples of medium-range wireless technologies include
IEEE 802.11Wi-Fi, IEEE 802.15.4, and 802.15.4gWPAN.
 Wired technologies such as IEEE 802.3 Ethernet and IEEE
1901.2 Narrowband Power Line Communications (PLC)

 Long range:
 Distances greater than 1 mile between two devices require
long-range technologies.
 Wireless examples are cellular (2G,3G,4G) and some
applications of outdoor IEEE 802.11Wi-Fi and Low-Power
Wide-Area (LPWA) technologies.
 LPWA communications have the ability to communicate over a large
area without consuming much power. These technologies are
therefore ideal for battery-powered IoT sensors

 Frequency Bands
 Radio spectrum is regulated by countries and/or
organizations, such as the International
Telecommunication Union (ITU) and the Federal
Communications Commission (FCC).
 These groups define the regulations and transmission
requirements for various frequency bands
 For example, portions of the spectrum are allocated to types
of telecommunications such as radio,television,military,and
so on.

 Focusing on IoT access technologies, the frequency bands
leveraged by wireless communications are split
between licensed and unlicensed bands.
 Licensed spectrum is generally applicable to IoT long-
range access technologies
 In order to utilize licensed spectrum, users must subscribe
to services when connecting their IoT devices
 In exchange for the subscription fee, the network operator
can guarantee the exclusivity of the frequency usage over the
target area and can therefore sell a better guarantee of
service.

 The ITU has also defined unlicensed spectrum for the industrial,
scientific, and medical (ISM) portions of the radio bands.
 These frequencies are used in many communications
technologies for short-range devices (SRDs).
 Unlicensed means that no guarantees or protections are
offered in the ISM bands for device communications
 ISM bands for IoT access
 2.4 GHz band as used by IEEE 802.11b/g/nWi-Fi
 IEEE 802.15.1 Bluetooth
 IEEE 802.15.4WPAN

 Unlicensed spectrum is usually simpler to deploy than
licensed because it does not require a service provider.
 However, it can suffer from more interference because other
devices may be competing for the same frequency in a
specific area
 The frequency of transmission directly impacts how a signal
propagates and its practical maximum range.

Power Consumption
 Powered nodes and battery-powered nodes
 A powered node has a direct connection to a power
source, and communications are usually not limited
by power consumption criteria.
 However, ease of deployment of powered nodes is
limited by the availability of a power source, which
makes mobility more complex
 Battery-powered nodes bring much more flexibility
to IoT devices.
 These nodes are often classified by the required lifetimes
of their batteries.

 For battery-powered nodes, IoT wireless access
technologies must address the needs of low power
consumption and connectivity
 A new wireless environment known as Low-Power Wide-
Area (LPWA)
 Battery-powered nodes are often placed in a “sleep mode”
to preserve battery life when not transmitting
 Wired IoT access technologies consisting of powered nodes
are not exempt from power optimization

Topology
 Among the access technologies available for connecting IoT
devices, three main topology schemes are dominant: star, mesh,
and peer-to-peer
 For long-range and short-range technologies, a star topology is
prevalent
 Star topologies utilize a single central base station or controller to
allow communications with endpoints
 For medium-range technologies, a star, peer-to-peer, or mesh
topology is common
 Peer-to-peer topologies allow any device to communicate
with any other device as long as they are in range of each
other

Ex: IndoorWi-Fi deployments and OutdoorWi-Fi deployments

Constrained-Node Networks
 IEEE 802.15.4 and 802.15.4g RF, IEEE 1901.2a PLC,
LPWA, and IEEE 802.11ah access technologies
 Constrained-node networks are often referred to as
low-power and lossy networks (LLNs).
 Low power – battery powered constraints
 Lossy network -- network performance may suffer
from interference and variability due to harsh radio
environments
 Protocols that can be used for constrained-node networks
must be evaluated in the context of the following
characteristics: data rate and throughput, latency and
determinism, and overhead and payload.

Data Rate and Throughput
 The data rates available from IoT access technologies range
from 100 bps with protocols such as Sigfox to tens of
megabits per second with technologies such as LTE
and IEEE 802.11ac
 However, the actual throughput is less
 Therefore, understanding the bandwidth requirements of a
particular technology, its applicability to given use cases, the
capacity planning rules, and the expected real throughput are
important for proper network design and successful
production deployment

 Technologies not particularly designed for IoT, such as
cellular andWi-Fi, match up well to IoT applications with
high bandwidth requirements
 For example, nodes involved with video analytics have a need
for high data rates, IoT endpoints are not constrained in
terms of computing or network bandwidth, the design
guidelines tend to focus on application requirements, such as
latency and determinism

 Short-range technologies can also provide medium to high
data rates that have enough throughput to connect a few
endpoints.
 For example, Bluetooth sensors that are now appearing on
connected wearables fall into this category.
 In this case, the solutions focus more on footprint and battery
lifetime than on data rate.
 The IoT access technologies developed for constrained nodes
are optimized for low power consumption, but they are also
limited in terms of data rate

 Another characteristic of IoT devices is that a majority of
them initiate the communication.
 Upstream traffic toward an application server is usually more
common than downstream traffic from the application
server.
 Understanding this behavior also helps when deploying an
IoT access technology, such as cellular, that is asymmetrical
because the upstream bandwidth must be considered a key
parameter for profiling the network capacity

Latency and Determinism
 Latency expectations of IoT applications should be known
when selecting an access technology
 This is particularly true for wireless networks,where
packet loss and retransmissions due to interference,
collisions,and noise are normal behaviors
 On constrained networks, latency may range from a
few milliseconds to seconds, and applications and
protocol stacks must cope with these wide-ranging
values

Overhead and Payload
 When considering constrained access network technologies,
it is important to review the MAC payload size
characteristics required by applications
 You should be aware of any requirements for IP.
 The minimum IPv6 MTU size is expected to be 1280
bytes.
 Therefore, the fragmentation of the IPv6 payload has
to be taken into account by link layer access protocols with
smaller MTUs

IoT Access Technologies
 The following topics are addressed for each
IoT access technology:
Standardization and alliances:
 The standards bodies that maintain the protocols for a technology
Physical layer:
 The wired or wireless methods and relevant frequencies
MAC layer:
 Considerations at the MediaAccess Control (MAC) layer, which bridges the
physical layer with data link control
Topology:
 The topologies supported by the technology
Security:
 Security aspects of the technology
Competitive technologies:
 Other technologies that are similar and may be suitable alternatives to the given
technology

 IEEE 802.15.4
 IEEE 802.15.4g and 802.15.4e
 IEEE 1901.2a
 IEEE 802.11ah
 LoRaWAN
 NB-IoT and other LTEVariations
IoT Access Technologies

IEEE 802.15.4
 Wireless access technology for low-cost and low-data-rate
devices that are powered or run on batteries
 This access technology enables easy installation while
remaining both simple and flexible
 IEEE 802.15.4 is commonly found in the following types
of deployments:
 Home and building automation
 Automotive networks
 Industrial wireless sensor networks
 Interactive toys and remote controls

 Drawbacks of this includes MAC reliability, unbounded latency,
and susceptibility to interference and multipath fading
 The negatives around reliability and latency often have to do
with the Collision Sense MultipleAccess/CollisionAvoidance
(CSMA/CA) algorithm.
 CSMA/CA is an access method in which a device “listens” to
make sure no other devices are transmitting before starting
its own transmission.
 If another device is transmitting, a wait time (which is usually
random) occurs before “listening” occurs again
 Interference and multipath fading occur with IEEE 802.15.4
because it lacks a frequency-hopping technique

Standardization and Alliances
 IEEE 802.15.4 or IEEE 802.15Task Group 4 defines low-
data-rate PHY and MAC layer specifications for
wireless personal area networks (WPAN).
 This is a well-known solution for low complexity
wireless devices with low data rates that need many
months or even years of battery life.
 IEEE 802.15.4-2003 , 802.15.4-2006 , 802.15.4-2011 and
802.15.4-2015

Protocol Stacks Utilizing IEEE 802.15.4

ZigBee
 ZigBee solutions are aimed at smart objects and
sensors that have low bandwidth and low power
needs.
 Furthermore, products that are ZigBee compliant and
certified by the ZigBee Alliance should interoperate
even though different vendors may manufacture them
 The Zigbee specification has undergone several revisions.
 In the 2006 revision, sets of commands and message types
were introduced, and increased in number in the 2007
(called Zigbee pro) iteration, to achieve different functions
for a device, such as metering, temperature, or lighting
control

 The main areas where ZigBee is the most well-known
include automation for commercial,retail,and home
applications and smart energy
 In the industrial and commercial automation space, ZigBee-
based devices can handle various functions, from measuring
temperature and humidity to tracking assets.
 For home automation, ZigBee can control lighting, ZigBee
Smart Energy brings together a variety of interoperable
products,such as smart meters,that can monitor and
control the use and delivery of utilities,such as electricity
and water

 The ZigBee network and security layer provides
mechanisms for network startup,configuration,routing,
and securing communications.
 This includes calculating routing paths in what is often a
changing topology, discovering neighbors, and managing the
routing tables as devices join for the first time.
 The network layer is also responsible for forming the
appropriate topology, which is often a mesh but could be a
star or tree as well.
 From a security perspective,ZigBee utilizes 802.15.4 for security at
the MAC layer,using the Advanced Encryption Standard
(AES) with a 128-bit key and also provides security at
the network and application layers.

 ZigBee uses Ad hoc On-Demand DistanceVector
(AODV) routing across a mesh network.
 Interestingly, this routing algorithm does not send a message
until a route is needed.
 Assuming that the next hop for a route is not in its routing
table, a network node broadcasts a request for a routing
connection.
 This causes a burst of routing related traffic, but after a
comparison of various responses, the path with the lowest
number of hops is determined for the connection.

 The application support layer interfaces the lower
portion of the stack dealing with the networking of ZigBee devices
with the higher-layer applications.
 ZigBee predefines many application profiles for
certain industries, and vendors can optionally create their
own custom ones at this layer.
 As mentioned previously, Home Automation and Smart
Energy are two examples of popular application profiles.

ZigBee IP
 With the introduction of ZigBee IP, the support of IEEE
802.15.4 continues, but the IP andTCP/UDP protocols and
various other open standards are now supported at the
network and transport layers.
 The ZigBee-specific layers are now found only at the top of
the protocol stack for the applications

 ZigBee IP supports 6LoWPAN as an adaptation layer.
 The 6LoWPAN mesh addressing header is not required as ZigBee
IP utilizes the mesh-over or route-over method for forwarding
packets.
 ZigBee IP requires the support of 6LoWPAN’s fragmentation and
header compression schemes.
 At the network layer, all ZigBee IP nodes support IPv6, ICMPv6,
and 6LoWPAN Neighbor Discovery (ND), and utilize RPL for the
routing of packets across the mesh network.
 BothTCP and UDP are also supported, to provide both
connection-oriented and connectionless service.

Physical Layer
 The 802.15.4 standard supports an extensive number of
PHY options that range from 2.4 GHz to sub-GHz
frequencies in ISM bands
 The original IEEE 802.15.4-2003 standard specified only
three PHY options based on direct sequence spread spectrum
(DSSS) modulation.
 DSSS is a modulation technique in which a signal is
intentionally spread in the frequency domain, resulting in
greater bandwidth.

Modulation
 In the modulation process, some parameter of the carrier
wave (such as amplitude, frequency or phase ) is varied in
accordance with the modulating signal .This modulated
signal is then transmitted by the transmitter
 In the modulation process, two signals are used namely the
modulating signal and the carrier
 The modulating signal is nothing but the baseband signal or
information signal while the carrier is a high frequency
sinusoidal signal

 Advantages of Modulation
 Reduction in the height of antenna
 Avoids mixing of signals
 Increases the range of communication
 Multiplexing is possible
 Improves quality of reception

 For the transmission of radio signals, the antenna height must
be multiple of λ/4 ,where λ is the wavelength .
 λ = c /f
 where c : is the velocity of light
 f: is the frequency of the signal to be transmitted
 The minimum antenna height required to transmit a
baseband signal of f = 10 kHz is calculated as follows :

 The original physical layer transmission options were as
follows:
 2.4 GHz, 16 channels, with a data rate of 250 kbps
 915 MHz, 10 channels, with a data rate of 40 kbps
 868 MHz, 1 channel, with a data rate of 20 kbps
 IEEE 802.15.4-2006, 802.15.4- 2011, and IEEE 802.15.4-
2015 introduced additional PHY communication options,
including the following:

 OQPSK PHY:
 This is DSSS PHY, employing offset quadrature phase shift
keying (OQPSK) modulation. OQPSK is a modulation
technique that uses four unique bit values that are signalled
by phase changes.
 An offset function that is present during phase shifts allows
data to be transmitted more reliably.

 BPSK PHY:
 This is DSSS PHY, employing binary phase-shift keying (BPSK)
modulation.
 BPSK specifies two unique phase shifts as its data encoding
scheme.
 ASK PHY:
 This is parallel sequence spread spectrum (PSSS) PHY, employing
amplitude shift keying (ASK) and BPSK modulation.
 PSSS is an advanced encoding scheme that offers increased range,
throughput, data rates, and signal integrity compared to DSSS.
 ASK uses amplitude shifts instead of phase shifts to signal different
bit values

The frame for the 802.15.4 physical layer
 The synchronization header for this frame is composed of the
Preamble and the Start of Frame Delimiter fields
 The Preamble field is a 32-bit 4-byte pattern that identifies the
start of the frame and is used to synchronize the data transmission
 The Start of Frame Delimiter field informs the receiver that frame
contents start immediately after this byte

 The PHY Header portion of the PHY frame is frame length
value. It lets the receiver know how much total data to
expect in the PHY service data unit (PSDU) portion of the
802.4.15 PHY.
 The PSDU is the data field or payload
 The maximum size of the IEEE 802.15.4 PSDU is 127 bytes.This size is
significantly smaller than the lowest MTU setting of other upper-layer
protocols, such as IPv6, which has a minimum MTU setting of 1280 bytes.
Therefore, fragmentation of the IPv6 packet must occur at the data link layer
for larger IPv6 packets to be carried over IEEE 802.15.4 frames.

MAC Layer
 At this layer, the scheduling and routing of data frames are
coordinated
 The 802.15.4 MAC layer performs the following tasks:
 Network beaconing for devices acting as coordinators (New
devices use beacons to join an 802.15.4 network)
 PAN association and disassociation by a device
 Device security
 Reliable link communications between two peer MAC
entities

 The MAC layer achieves these tasks by using various predefined
frame types
 Four types of MAC frames are specified in 802.15.4:
 Data frame:
 Handles all transfers of data
 Beacon frame:
 Used in the transmission of beacons from a PAN coordinator
 Acknowledgement frame:
 Confirms the successful reception of a frame
 MAC command frame:
 Responsible for control communication between devices

 The MAC Header field is composed of the Frame Control,
Sequence Number and theAddressing fields.
 The Frame Control field defines attributes such as frame
type, addressing modes, and other control flags.
 The Sequence Number field indicates the sequence identifier
for the frame.
 TheAddressing field specifies the Source and Destination
PAN Identifier fields as well as the Source and Destination
Address fields

 The MAC Payload field varies by individual frame type.
 For example, beacon frames have specific fields and payloads
related to beacons, while MAC command frames have
different fields present.
 The MAC Footer field is nothing more than a frame check
sequence (FCS).
 An FCS is a calculation based on the data in the frame that is
used by the receiving side to confirm the integrity of the data
in the frame.

 IEEE 802.15.4 requires all devices to support a unique 64-bit
extended MAC address, based on EUI-64.
 However, because the maximum payload is 127 bytes,
802.15.4 also defines how a 16-bit “short address” is assigned
to devices.
 This short address is local to the PAN and substantially
reduces the frame overhead compared to a 64-bit extended
MAC address

Topology
 IEEE 802.15.4–based networks can be built as star, peer-to-
peer, or mesh topologies.
 Mesh networks tie together many nodes.
 This allows nodes that would be out of range if trying to
communicate directly to leverage intermediary nodes to
transfer communications.
 Every 802.15.4 PAN should be set up with a unique ID.
 All the nodes in the same 802.15.4 network should use the
same PAN ID

 A minimum of one FFD acting as a PAN coordinator is
required to deliver services that allow other devices to
associate and form a cell or PAN.
 A single PAN coordinator is identified for PAN ID 1.
 FFD devices can communicate with any other devices,
whereas RFD devices can communicate only with FFD
devices.

 The IEEE 802.15.4 specification does not define a path
selection within the MAC layer for a mesh topology.
 This function can be done at Layer 2 and is known as mesh-
under.
 The routing function can occur at Layer 3, using a routing
protocol, such as the IPv6 Routing Protocol for Low Power
and Lossy Networks (RPL).
 This is referred to as mesh-over

Security
 The IEEE 802.15.4 specification usesAdvanced Encryption
Standard (AES) with a 128-bit key length as the base encryption
algorithm for securing its data
 AES is a block cipher, which means it operates on fixed-size blocks
of data
 symmetric key - means that the same key is used for both the
encryption and decryption of the data
 In addition to encrypting the data,AES in 802.15.4 also validates
the data that is sent.
 This is accomplished by a message integrity code (MIC), which is
calculated for the entire frame using the sameAES key that is used
for encryption

 Using the Security Enabled field in the Frame Control
portion of the 802.15.4 header is the first step to enabling
AES encryption.
 This field is a single bit that is set to 1 for security.
 Once this bit is set, a field called theAuxiliary Security
Header is created after the Source Address field, by stealing
some bytes from the Payload field.

Frame Format with the Auxiliary Security Header Field for 802.15.4-
2006 and Later Versions

IEEE 802.15.4g and 802.15.4e
 The IEEE 802.15.4e amendment of 802.15.4-2011 expands
the MAC layer feature set to remedy the disadvantages
associated with 802.15.4, including MAC reliability,
unbounded latency, and multipath fading
 Also made improvements to better cope with certain
application domains, such as factory and process automation
and smart grid
 IEEE 802.15.4e-2012 enhanced the IEEE 802.15.4 MAC
layer capabilities in the areas of frame format, security,
determinism mechanism, and frequency hopping

 IEEE 802.15.4g-2012 is also an amendment to the IEEE
802.15.4-2011 standard
 The focus of this specification is the smart grid or, more
specifically, smart utility network communication.
 802.15.4g seeks to optimize large outdoor wireless mesh
networks for field area networks (FANs)

 This technology applies to IoT use cases such as the
following:
 Distribution automation and industrial supervisory control
and data acquisition (SCADA) environments for remote
monitoring and control
 Public lighting
 Environmental wireless sensors in smart cities
 Electrical vehicle charging stations
 Smart parking meters
 Microgrids
 Renewable energy

 Standardization and Alliances
 To guarantee interoperability, theWi-SUNAlliance was
formed. (SUN stands for smart utility network.)

Physical Layer
 PSDU or payload size of 127 bytes was increased for the
SUN PHY to 2047 bytes
 This provides a better match for the greater packet sizes
found in many upper-layer protocols.
 For example, the default IPv6 MTU setting is 1280 bytes.
 Fragmentation is no longer necessary at Layer 2 when IPv6
packets are transmitted over IEEE 802.15.4g MAC frames.
 The error protection was improved in IEEE 802.15.4g by
evolving the CRC from 16 to 32 bits

 The SUN PHY, as described in IEEE 802.15.4g-2012,
supports multiple data rates in bands ranging from 169 MHz
to 2.4 GHz.
 These bands are covered in the unlicensed ISM frequency
spectrum
 Within these bands, data must be modulated onto the
frequency using at least one of the following PHY
mechanisms to be IEEE 802.15.4g compliant:
 Multi-Rate and Multi-Regional Frequency Shift
Keying (MR-FSK)
 Offers good transmit power efficiency due to the constant
envelope of the transmit signal

 Multi-Rate and Multi-Regional Orthogonal
Frequency Division Multiplexing (MR-OFDM)
 Provides higher data rates but may be too complex for low-
cost and low-power devices
 Multi-Rate and Multi-Regional Offset Quadrature
Phase-Shift Keying (MR-O-QPSK)
 Shares the same characteristics of the IEEE 802.15.4-2006
O-QPSK PHY, making multi-mode systems more cost-
effective and easier to design
 Enhanced data rates and a greater number of channels for
channel hopping are available, depending on the frequency
bands and modulation

MAC Layer
 Time-Slotted Channel Hopping (TSCH):
 It is an IEEE 802.15.4e-2012 MAC operation mode that
works to guarantee media access and channel diversity.
 Channel hopping, also known as frequency hopping, utilizes
different channels for transmission at different times.
 TSCH divides time into fixed time periods, or “time slots,”
which offer guaranteed bandwidth and predictable latency.
 In a time slot, one packet and its acknowledgement can be
transmitted, increasing network capacity because multiple
nodes can communicate in the same time slot, using different
channels

 A number of time slots are defined as a “slot frame,” which is
regularly repeated to provide “guaranteed access.”
 The transmitter and receiver agree on the channels and the
timing for switching between channels through the
combination of a global time slot counter and a global
channel hopping sequence list

 Information elements:
 Information elements (IEs) allow for the exchange of
information at the MAC layer in an extensible manner, either
as header IEs (standardized) and/or payload IEs (private).
 Specified in a tag, length, value (TLV) format, the IE field
allows frames to carry additional metadata to support MAC
layer services
 These services may include IEEE 802.15.9 key management,
Wi-SUN 1.0 IEs to broadcast and unicast schedule timing
information, and frequency hopping synchronization
information for the 6TiSCH architecture.

 Enhanced beacons (EBs):
 EBs extend the flexibility of IEEE 802.15.4 beacons to allow
the construction of application-specific beacon content.
 This is accomplished by including relevant IEs in EB frames.
 Some IEs that may be found in EBs include network metrics,
frequency hopping broadcast schedule, and PAN information
version.

 Enhanced beacon requests (EBRs):
 Like enhanced beacons, an enhanced beacon request (EBRs)
also leverages IEs.
 The IEs in EBRs allow the sender to selectively specify the
request of information.
 Beacon responses are then limited to what was requested in
the EBR.
 For example, a device can query for a PAN that is allowing
new devices to join or a PAN that supports a certain set of
MAC/PHY capabilities

 Enhanced Acknowledgement:
 The EnhancedAcknowledgement frame allows for the
integration of a frame counter for the frame being
acknowledged.
 This feature helps protect against certain attacks that occur
whenAcknowledgement frames are spoofed.

IEEE 802.15.4g/e MAC Frame Format

 The main changes shown in the IEEE 802.15.4e header are
the presence of theAuxiliary Security Header and
Information Elements field.
 TheAuxiliary Security header provides for the encryption of
the data frame
 The IE field contains one or more information elements that
allow for additional information to be exchanged at the MAC
layer.

Topology
 Deployments of IEEE 802.15.4g-2012 are mostly based on a
mesh topology
 Mesh topology is typically the best choice for use cases in the
industrial and smart cities areas
 A mesh topology allows deployments to be done in urban or
rural areas, expanding the distance between nodes that can
relay the traffic of other nodes.

Security
 Both IEEE 802.15.4g and 802.15.4e inherit their security
attributes from the IEEE 802.15.4-2006 specification.
 Encryption is provided byAES, with a 128-bit key.
 In addition to the Auxiliary Security Header field initially
defined in 802.15.4-2006, a secure acknowledgement and a
secure Enhanced Beacon field complete the MAC layer
security

 The full frame gets authenticated through the MIC at the end of
frame.
 The MIC is a unique value that is calculated based on the frame
contents.
 The Security Header field denoted is composed of the Auxiliary
Security field and one or more Information Elements fields.
 Integration of the Information Elements fields allows for the
adoption of additional security capabilities, such as the IEEE
802.15.9 Key Management Protocol (KMP) specification.
 KMP provides a means for establishing keys for robust datagram
security

IEEE 1901.2a
 IEEE 1901.2a-2013 is a wired technology that is an update to
the original IEEE 1901.2 specification.
 This is a standard for Narrowband Power Line
Communication (NB-PLC).
 NB-PLC leverages a narrowband spectrum for low power,
long range, and resistance to interference over the same
wires that carry electric power.

 NB-PLC is often found in use cases such as the following:
 Smart metering:
 NB-PLC can be used to automate the reading of utility
meters, such as electric, gas, and water meters
 Distribution automation:
 NB-PLC can be used for distribution automation, which
involves monitoring and controlling all the devices in the
power grid.

 Public lighting:
 A common use for NB-PLC is with public lighting—the lights
found in cities and along streets, highways, and public areas such as
parks.
 Electric vehicle charging stations:
 NB-PLC can be used for electric vehicle charging stations, where
the batteries of electric vehicles can be recharged.
 Microgrids:
 NB-PLC can be used for microgrids, local energy grids that can
disconnect from the traditional grid and operate independently.
 Renewable energy:
 NB-PLC can be used in renewable energy applications, such as
solar, wind power, hydroelectric, and geothermal heat.

LoRaWAN
 Low-PowerWide-Area (LPWA) adapted for long-range and
battery powered endpoints
 LoRaWAN is unlicensed-band LPWA technology
 LoRa was a physical layer, or Layer 1, modulation that was
developed by a French company named Cycleo
 Later, Cycleo was acquired by Semtech
 Optimized for long-range, two-way communications and low
power consumption

Physical Layer
 Semtech LoRa modulation is based on chirp spread spectrum
modulation
 Chirp - Compressed High Intensity Radar Pulse
 Lower data rate and increase the communication distance

 Understanding LoRa gateways is critical to understanding a
LoRaWAN system.
 A LoRa gateway is deployed as the center hub of a star
network architecture.
 It uses multiple transceivers and channels and can
demodulate multiple channels at once or even demodulate
multiple signals on the same channel simultaneously.
 LoRa gateways serve as a transparent bridge relaying data
between endpoints, and the endpoints use a single-hop
wireless connection to communicate with one or many
gateways.

 The data rate in LoRaWAN varies depending on the frequency
bands and adaptive data rate (ADR).
 ADR is an algorithm that manages the data rate and radio signal
for each endpoint.
 TheADR algorithm ensures that packets are delivered at the best
data rate possible and that network performance is both optimal
and scalable.
 Endpoints close to the gateways with good signal values transmit
with the highest data rate, which enables a shorter transmission
time over the wireless network, and the lowest transmit power.
 Meanwhile, endpoints at the edge of the link budget communicate
at the lowest data rate and highest transmit power.

 An important feature of LoRa is its ability to handle various
data rates via the spreading factor.
 Devices with a low spreading factor (SF) achieve less distance
in their communications but transmit at faster speeds,
resulting in less airtime.
 A higher SF provides slower transmission rates but achieves a
higher reliability at longer distances.

MAC Layer
 The MAC layer is defined in the LoRaWAN specification.
 This layer takes advantage of the LoRa physical layer and
classifies LoRaWAN endpoints to optimize their battery life
and ensure downstream communications to the LoRaWAN
endpoints.
 The LoRaWAN specification documents three classes of
LoRaWAN devices:
 Class A:
 This class is the default implementation. Optimized for
battery powered nodes, it allows bidirectional
communications, where a given node is able to receive
downstream traffic after transmitting.
 Two receive windows are available after each transmission

 Class B:
 This class was designated “experimental” in LoRaWAN 1.0.1
until it can be better defined.
 A Class B node or endpoint should get additional receive
windows compared to ClassA, but gateways must be
synchronized through a beaconing process
 Class C:
 This class is particularly adapted for powered nodes.
 This classification enables a node to be continuously listening
by keeping its receive window open when not transmitting.

 LoRaWAN messages, either uplink or downlink, have a PHY
payload composed of a 1-byte MAC header, a variable-byte
MAC payload, and a MIC that is 4 bytes in length.
 The MAC payload size depends on the frequency band and
the data rate, ranging from 59 to 230 bytes for the 863–870
MHz band and 19 to 250 bytes for the 902–928 MHz band

 In version 1.0.x, LoRaWAN utilizes six MAC message types.
 LoRaWAN devices use join request and join accept messages for
activation and joining the network.
 The other message types are unconfirmed data up/down and
confirmed data up/down.
 A “confirmed” message is one that must be acknowledged, and
“unconfirmed” signifies that the end device does not need to
acknowledge.
 “up/down” is simply a directional notation identifying whether the
message flows in the uplink or downlink path.
 Uplink messages are sent from endpoints to the network server
and are relayed by one or more LoRaWAN gateways.
 Downlink messages flow from the network server to a single
endpoint and are relayed by only a single gateway

 LoRaWAN endpoints are uniquely addressable through a
variety of methods, including the following:
 An endpoint can have a global end device ID or DevEUI
represented as an IEEE EUI-64 address.
 An endpoint can have a global application ID or AppEUI
represented as an IEEE EUI-64 address that uniquely
identifies the application provider, such as the owner, of the
end device

 In a LoRaWAN network, endpoints are also known by their
end device address, known as a DevAddr, a 32-bit address.
 The 7 most significant bits are the network identifier
(NwkID), which identifies the LoRaWAN network.
 The 25 least significant bits are used as the network address
(NwkAddr) to identify the endpoint in the network.

 LoRaWAN endpoints must implement two layers of security,
protecting communications and data privacy across the
network.
 The first layer, called “network security” but applied at the
MAC layer, guarantees the authentication of the endpoints by
the LoRaWAN network server.
 Also, it protects LoRaWAN packets by performing
encryption based onAES

 Each endpoint implements a network session key
(NwkSKey), used by both itself and the LoRaWAN network
server.
 The NwkSKey ensures data integrity through computing and
checking the MIC of every data message as well as encrypting
and decrypting MAC-only data message payloads
 The second layer is an application session key (AppSKey),
which performs encryption and decryption functions
between the endpoint and its application server

 LoRaWAN endpoints attached to a LoRaWAN network must
get registered and authenticated.
 This can be achieved through one of the two join
mechanisms:
 Activation by personalization (ABP):
 Endpoints don’t need to run a join procedure as their
individual details, including DevAddr and the NwkSKey and
AppSKey session keys, are preconfigured and stored in the
end device.
 This same information is registered in the LoRaWAN
network server

 Over-the-air activation (OTAA):
 Endpoints are allowed to dynamically join a particular LoRaWAN
network after successfully going through a join procedure.
 The join procedure must be done every time a session context is
renewed.
 During the join process, which involves the sending and receiving
of MAC layer join request and join accept messages, the node
establishes its credentials with a LoRaWAN network server,
exchanging its globally unique DevEUI,AppEUI, and AppKey.
 TheAppKey is then used to derive the session NwkSKey and
AppSKey keys

NB-IoT and Other LTE Variations
 Existing cellular technologies, such as GPRS, Edge, 3G, and
4G/LTE, are not particularly well adapted to battery-
powered devices and small objects specifically developed for
the Internet ofThings
 LTE -M
 The new LTE-M device category was not sufficiently close to
LPWA capabilities
 A new narrowband radio access technology called
Narrowband IoT (NB-IoT)

 It addresses the requirements of a massive number of low-
throughput devices, low device power consumption,
improved indoor coverage, and optimized network
architecture

LTE Cat 0
 The first enhancements to better support IoT devices in
3GPP occurred in LTE Release 12.
 A new user equipment (UE) category, Category 0, was
added, with devices running at a maximum data rate of 1
Mbps
 Category 0 includes important characteristics to be
supported by both the network and end devices

 Power saving mode (PSM)
 This new device status minimizes energy consumption
 PSM is defined as being similar to “powered off” mode, but the
device stays registered with the network.
 By staying registered, the device avoids having to reattach or re-
establish its network connection
 The device negotiates with the network the idle time after which
it will wake up.
 When it wakes up, it initiates a tracking area update (TAU), after
which it stays available for a configured time and then switches
back to sleep mode or PSM.
 ATAU is a procedure that an LTE device uses to let the network
know its current tracking area, or the group of towers in the
network from which it can be reached

 Half-duplex mode
 This mode reduces the cost and complexity of a device’s
implementation because a duplex filter is not needed.
 Most IoT endpoints are sensors that send low amounts of
data that do not have a full duplex communication
requirement.

 LTE-M
 LTE Release 13
 Lower receiver bandwidth
 Bandwidth has been lowered to 1.4 MHz versus the usual 20
MHz.This further simplifies the LTE endpoint
 Lower data rate
 Data is around 200 kbps for LTE-M, compared to 1 Mbps for
Cat 0.

 Half-duplex mode
 Just as with Cat 0, LTE-M offers a half-duplex mode that
decreases node complexity and cost
 Enhanced discontinuous reception (eDRX)
 This capability increases from seconds to minutes the amount
of time an endpoint can “sleep” between paging cycles

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