Analysis on IoT Challenges, Opportunities, Applications and Communication Models

International Journal of Advanced Engineering, Management and Science (IJAEMS) [Vol-2, Issue-4, April- 2016]
Infogain Publication (Infogainpublication.com) ISSN: 2454-1311
www.ijaems.com Page | 75
Analysis on IoT Challenges, Opportunities,
Applications and Communication Models
Narasimha Swamy S1
, Shantharam Nayak2
, Vijayalakshmi M N3
1,3
Department of Master of Computer Applications, R V College of Engineering, Bengaluru, India
2
Department of Information Science and Engineering, R V College of Engineering, Bengaluru, India
Abstract— Internet of Things (IoT) is a novel
communication standard and it is researcher’s preferred
topic, which integrates heterogeneous systems seamlessly.
Designing a universal architecture for IoT is a
challenging task due to the integration of wide variety of
the devices. The main objective of this paper is to provide
comprehensive knowledge on challenges, applications,
Security issues, and different communication models of
IoT. This paper also focuses on the marketing trends of
IoT with respect to variety of application with the end
users. This motivates the researchers to contribute more
productive work in this field by analyzing various
parameters.
Keywords— IoT, Security, Sensors Networks, Cloud
computing, RFID.
I. INTRODUCTION
The number of devices that are connecting to the internet
is increasing exponentially day by day. This leads to new
communication standard in internet know as Internet of
things (IoT). The typical idea behind IoT includes smart
devices like refrigerators, street lights, washing machine,
air conditioners, cars and etc., these are equipped with
sensors and Radio Frequency Identification (RFID) tags
[1].Cutting-edge communication practices like cloud
computing, Wi-Fi and Wimax are used as communication
medium between the IoT and smart devices [2][3].
IoT is an integration of wide variety of smart devices, and
influencing human routine towards, e-health, e-learning,
remote monitoring, surveillances. Similarly, IoT plays a
key role in industries such as automation and intelligent
industrial manufacturing, smart logistics, smart
transportation and many [4].
The public, industries and government are the important
stakeholders of IoT. At this stage, IoT requires
promotional policies to build a new network models. The
aim of IoT is ‘Value Up’ the data and ‘Cost Down’
models.
II. UNDERSTANDING IOT
It is easy to understand architecture of IoT. The figure1
illustrate the layered structure of an IoT. The Architecture of
the IoT comprises of three important layers perception layer,
network layer and application layer. The perception layer
allows recognizing and accumulating data from the smart
devices. The data broadcast from source to destination is
done by transport layer using the communication standards
like Wi-Fi, Wimax, GPRS and Zigbee technologies.
Application Layer
Transport/Network Layer
Perception Layer
Fig .1: Three Layered Architecture of IoT
The topmost layer in IoT is application layer, where large
number of applications runs. IoT includes three different
stages:
1. The device accumulates data from other devices. This
stage also includes identification of devices and
addressing the devices.
2. An IoT application accumulates data and analyses the
data for further consolidation.
3. Decision making technique may accomplish with the
help of analytical engines and big data. Once Decision
making technique is completed the data is
transmitted to the server.
III. PILLARS OF IOT
The Fig.2 illustrate the pillars of IoT
Fig. 2: Pillars of IoT
R&D and Innovation
R&D in IoT needs more fund to develop specific social
application through call for proposal. Identify core
members of IoT in R&D and start developing the open
source projects using cloud and collaborative R&D.

conduct the tests to integrate hardware to hardware (H to
H) and hardware to software (H to S).
Capacity building and Incubation
This includes implementing IoT test-bed suit for
homogeneous and heterogeneous devices. This enables
academic and research community to get benefit by doing
the experiments and to improve the knowledge of IoT
software and hardware infrastructure. This helps scientific
community to enhance their knowledge about IoT. This
encourages individual students to do research and to
enhance the IoT technology by conducting training and
workshops.
Exhibition centre
Demonstration centers are required to develop the domain
specific applications such as industrial monitoring, smart
cities, agriculture, healthcare, smart homes, forest and
wild life, natural disasters, automotive, safety and security
etc. This helps to get into the real time application from
theoretical concepts.
IV. CHALLENGES IN IOT
Architecture: The wide varieties of applications from
state full to stateless from resource constrained to
resource freedom and from simulation to real time
applications are the part of IoT. These may be infeasible
to have a standard architecture for IoT applications,
example, Sensor based identification architecture is
different from RFID based identification [5].
Routing: Routing of information plays very important
role in delivering the information to the destination
irrespective of the network.
1. Positioning of nodes in IoT is challenging task
because of changing topology, mobility, nodes may
be attach or detach to various networks [5].
2. Different Networking Standards are the major task
in routing of information in IoT. IoT uses different
communication standards such as Zigbee, Wimax
and Wi-Fi etc. The working principles of each and
every technology are different and they use diverse
protocol stacks [5].
3. Maintaining the Network Connectivity is a major
challenge because of limited battery power and
mobile nodes. Whenever node failure occurs and
mobile node detached from the network the
topology has to be reconstructed [5].
Fault Tolerance: The faults may occur due to
environmental factors, deployment mechanisms or energy
constraints devices. These may affect the overall
performance of the network. So there is a necessity of
some mechanism, which should be adopted in the routing
protocols to handle such unexpected events [5].
Security: The goals of the network and information
security are to achieve confidentiality, integrity and
availability of information. This can be achieved using
cryptographic algorithms but care should be taken while
implementing the cryptographic algorithms for IoT
because cryptographic algorithms include more
calculations, since IoT comprises of resource constraint
devices [5]. RFID tag information security, wireless
communications information security, network
transmission of information security, privacy, and
information processing security are the unknown dangers
in IoT [6].
V. APPLICATIONS OF IoT [1] [7] [8]
Committees for European Nano Electronics (CEN),
Committee for European Electro technical
Standardization (CENELEC), (ETSI) are the three
European bodies playing the vital role in developing the
standards for the IoT applications. The concept of IoT can
be easily adaptable. Some of the applications of the IoT
are:
Vehicle Traffic Control: In Traffic control application
vehicles like cars, bus, trains, roads and street lights are
equipped with the sensors and RFID tags to share traffic
information.
Smart homes and offices: IoT play a vibrant role in
smart homes and offices by controlling the room
temperature and room lightning by scheduling it
remotely.
Smart Cities: One can use the IoT in smart cities to
minimize the parking problems and monitoring the
physical condition of the building and bridges.
Health care: Health care sector is also a part of IoT. In
this application sensor monitors the condition of the
patient and forward the gathered information to the
concerned doctor.
Energy: IoT is used to monitor and manage usage of the
non-renewable resources like gas, coal, petrol and etc.
Environment: IoT also helps in managing the natural
disasters like earthquakes, floods, volcanic eruptions and
etc.
VI. MARKETING TRENDS
Unexpectedly, US National Intelligence Council (NIC)
included IoT in the list of six ‘‘Disruptive Civil
Technologies” by US national power [4] [9]. NIC
forecasts that “By 2025 daily use things like furniture,
food packages, important paper documents, and more are
equipped with the internodes”. It focuses on forthcoming
opportunities [4] [9].
IoT is the promising technology in future because it can
be adopted easily with the existing technologies. Markets
and Markets predicted that the size of the IoT in

International Journal of Advanced Engineering, Management and Science (IJAEMS)
Infogain Publication (Infogainpublication.com
www.ijaems.com
manufacturing field grows to USD 13.49 Billion by 2020
from USD 4.11 Billion in 2015, at a compound annual
growth rate (CAGR) of 26.9%. IoT is the solution for the
manufacturing and other industries because, which
increases the Functional efficiency of the industries. The
IoT becomes very popular and successful for, efficient
usage of sensors over enhanced automation
hardware and connecting devices are available for low
cost [4].
Recently TechSci released a study report called "India
Internet of Things (IoT) Market Opportunities &
Forecast, 2020", according to study report
India projected to progress at a CAGR more than 28%
during 2015 - 2020.
Real-time security, monitoring and analytics are part of
the IoT manufacturing industry which enhances the
operational effectiveness. The biggest share of IoT is
taken by the manufacturing industry to management
data during 2015 and it was predicted that IoT dominates
the market in future. Radio Frequency Identification
(RFID) leads the connectivity technology
manufacturing industry. This development is due to
reduction in the cost of connectivity devices and hardware
across North America, Europe and Asia-Pacific (APAC)
regions. Near Field Communication (NFC) is one of the
evolving technologies in wireless communication, which
can be used to communicate among the nodes in short
range.
Fig .3: Number of People connected using IoT
Communication Models in IoT [10]
Internet Architecture Board (IAB) in March 2015
released an architectural document for
includes four communication models used by IoT. The
key characteristics of the communication models details
are presented in below discussion.
Device to Device Communication
In this model two or more smart devices communicate
directly among one another, rather than communicating
through an intermediate application server. This
International Journal of Advanced Engineering, Management and Science (IJAEMS)
Infogainpublication.com)
grows to USD 13.49 Billion by 2020
, at a compound annual
growth rate (CAGR) of 26.9%. IoT is the solution for the
manufacturing and other industries because, which
increases the Functional efficiency of the industries. The
becomes very popular and successful for, efficient
automation and the
hardware and connecting devices are available for low
ort called "India
Opportunities &
report IoT market in
at a CAGR more than 28%
and analytics are part of
the IoT manufacturing industry which enhances the
The biggest share of IoT is
management the
during 2015 and it was predicted that IoT dominates
the market in future. Radio Frequency Identification
(RFID) leads the connectivity technology in IoT
manufacturing industry. This development is due to
reduction in the cost of connectivity devices and hardware
Pacific (APAC)
regions. Near Field Communication (NFC) is one of the
s communication, which
can be used to communicate among the nodes in short-
Number of People connected using IoT
in March 2015
released an architectural document for IoT, which
includes four communication models used by IoT. The
key characteristics of the communication models details
two or more smart devices communicate
another, rather than communicating
through an intermediate application server. This
communication model uses the Bluetooth, Z
Zigbee as communication media.
The applications like home automation systems and
health care systems uses the device to
communication model. The home automation
includes tiny data packets to communicate between
devices. Small IoT devices like tube lights, street lights,
washing machines, and air conditioners
exchange the smaller amount of informa
Device to device communication models are not
suited with the communication protocols; the
communicating devices should use the same type of the
protocols. For example, Bluetooth
are not natively compatible with the
devices [10]. The Fig. 4 gives the idea behind the device
to device communication model.
Fig. 4: Device to Device Communication Model
Device-to-Cloud Communication
In this communication paradigm the IoT smart devices
exchange the data and contr
directly connecting to the cloud. The concept behind the
device-to-cloud communication model is illustrated in the
Fig. 5.
Fig. 5: Device-to-Cloud Communication Model
Ethernet or Wi-Fi is the most common
communication standards used by
communication model in order to establish connection
between the cloud service and the smart device.
This technology was adopted by Samsung Smart TV’s.
The smart TV’s uses the internet technology in order to
send the user viewing interest information for analysis.
Device-to-Gateway Model (AGLM)
Device-to-gateway model is also
Device-to-application-layer gateway model. In this model
[Vol-2, Issue-4, April- 2016]
) ISSN: 2454-1311
Page | 77
communication model uses the Bluetooth, Z-Wave, or
Zigbee as communication media.
The applications like home automation systems and
health care systems uses the device to device
. The home automation application
includes tiny data packets to communicate between
devices. Small IoT devices like tube lights, street lights,
washing machines, and air conditioners normally
amount of information.
evice communication models are not well-
with the communication protocols; the
communicating devices should use the same type of the
Bluetooth family smart devices
not natively compatible with the Zigbee family of
The Fig. 4 gives the idea behind the device
to device communication model.
Device to Device Communication Model
Cloud Communication
In this communication paradigm the IoT smart devices
exchange the data and control the flow of traffic by
cloud. The concept behind the
ommunication model is illustrated in the
Cloud Communication Model
the most commonly used
used by the device-to-cloud
in order to establish connection
between the cloud service and the smart device.
This technology was adopted by Samsung Smart TV’s.
The smart TV’s uses the internet technology in order to
ser viewing interest information for analysis.
(AGLM) [10]
gateway model is also recognized as the
layer gateway model. In this model

a local gateway acts as an intermediate between smart
devices and the gateway is loaded with the application
software.
In this model a local gateway device runs application
software and it acts as an intermediate between the smart
device and cloud service. The local gateway device
provides the functionalities like security and data/
protocol translation. This model is used in the smart
cities, smart homes and etc. [10].The Fig. 6 gives the
more knowledge on device-to-gateway model.
Fig. 6: Device-to-Gateway Model
Back-End Data-Sharing Model [10]
This communication architecture enables users to transfer
and scrutinize smart device data from a cloud service in
grouping with data from additional sources. This
architecture enables “third parties to access the uploaded
sensor data”. Back-end data-sharing model was derived
from single device-to-cloud communication model, in this
model “The data can be uploaded by IoT smart devices to
a single application service provider’’. This model also
enables aggregation of data and analysis of data. The
Fig. 7 gives the knowledge on back-end data-sharing
model.
Fig. 7: Back-End Data-Sharing Model [10]
VII. CONCLUSION
Internet of Things has gained lots of impact in recent
trends; this impact may be due to the trends in wireless
communication and embedded devices connected over
internet. The review presented here focused on studying
the basic necessary aspects in IoT. This review may be
useful for researcher interested in contributing in the field
of IoT. This paper highlighted the architectural concepts,
challenges, and real time applications in IoT. A glimpse
of marketing trends of IoT and the most commonly used
communication models are also discussed in this review.
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