SlideShare a Scribd company logo
IEEE 802.15.4 LR-WPAN
Wireless Sensor Networks(WSN)Wireless Sensor Networks(WSN)
NetSim v9.1NetSim v9.1
Network Simulation/Emulation
Platform
IntroductionIntroduction
• IEEE 802.15.4 LR-WPAN(Low data Rate -
Wireless Personal Area Networks) standard is
widely used because of its position
independent sensing capabilities even in toxic
and inaccessible regions to humans.
• Sensors are low cost and can be randomly
placed as long as they are in some sensors
coverage area.
ApplicationsApplications
• Area Monitoring
– WSN is deployed over a region where some
phenomenon is to be monitored like detecting
enemy intrusion etc.,
• Forest Fire Detection
– A network of Sensor Nodes can be installed in a
forest to detect when a fire has started.
• Battlefield surveillance
• Reference: Wikipedia
Devices in WSNDevices in WSN
• WSN has mainly two types for devices;FFD,RFD
• FFD or Full Functional Device
– Senses the agent
– Routes packets and
– Initialize the Network(act as PAN Coordinator)
– Can communicate with another RFD or FFD
• RFD or Reduced Functional Device
– Can only sense the agent
– Can communicate with FFD only
Sink nodeSink node
• Sink node is the principal controller in WPAN
and there is only one PAN Coordinator in a
WSN.
• If Sink node uses Beacon enabled mode then
nodes use Slotted CSMA/CA algorithm for
transmitting packets else nodes use Unslotted
CSMA/CA.
AgentAgent
• Sensors sense the Agent and generate a packet
containing its position if the agent is in its
sensitivity range.
• In NetSim, Agent mobility is modeled by
RandomWalk and RandomWayPoint which are
followed internationally to test WSN.
• For each of the models we can set its velocity and
pause time(only random way point) and also we
can capture the agents path for the whole
simulation.
SensorSensor
• WSN consists of spatially distributed sensors
to monitor physical or environmental
conditions, such as temperature, sound,
pressure, etc. and to cooperatively pass their
data through the network to a main
location(Sink node).
Scenarios in WSNScenarios in WSN
IEEE 802.15.4 operational modesIEEE 802.15.4 operational modes
Beacon FrameBeacon Frame
• Beacons occupy the first slot in SuperFrame.
• Beacons are used to synchronize the attached
devices, to identify the PAN, and to describe the
structure of the super frames.
• Beacon frames are transmitted periodically to
announce the presence of a network.
SuperFrame StructureSuperFrame Structure
The superframe is contained in a Beacon Interval bounded
by two beacon frames, and has an active period and an
inactive period
SuperFrame Contd..SuperFrame Contd..
Active PeriodActive Period
• Active period consists of two periods
– Contention Access Period (CAP)
– Contention Free Period (CFP)
• Length of active period is determined by the
SuperFrame Order
• Active Period Length =
aBaseSuperframeDuration * symbols
2
SO
Contention Access Period (CAP)Contention Access Period (CAP)
• In CAP all the nodes having a packet to transmit
compete for the channel and follows Slotted CSMA/CA
algorithm.
• A sufficient portion of the CAP remains for contention-
based access of other networked devices or new
devices wishing to join the network.
Contention Free Period (CFP)Contention Free Period (CFP)
• CFP is used to allocate slots for the nodes which require low latency
i.e., PAN coordinator allocates guaranteed time slots (GTS) for such
nodes.
• A node issues GTS allocation request to the PAN coordinator, which
can allocate available GTS to nodes.
• In the CFP, the node requested for GTS can transmit during its GTS
if it is allocated, without any contention with other devices.
• CFP can be disabled by disabling GTS.
Inactive periodInactive period
• In the inactive period, the coordinator may enter
a low-power mode and doesn’t interact with its
PAN which helps in reduced energy consumption
and so extends the network lifetime
• Inactive period can be remove by setting
SuperFrame Order same as Beacon Order
SOBO ≡
PacketPacket
• Packet is generated by the sensor whenever agent comes
with in its sensor range and for every sensing interval.
• Each packet is characterized by 3 variables NB,CW,BE
– NB, Number of backoffs the node has underwent while
attempting the current transmission, initialized to 0 before
every new transmission
– CW, Contention Window Length, which defines the number of
backoff periods that need to be clear of channel activity before
starting transmission. CW is only used with the slotted CSMA/CA
version. This value is initialized to 2 before each transmission
attempt and reset to 2 each time the channel is assessed to be
busy.
– BE, Backoff exponent is related to backoff periods (0 to 2BE
-1) a
device has to wait before attempting to assess the channel.
Clear Channel Assessment (CCA)Clear Channel Assessment (CCA)
• CCA is responsible for sensing channel as busy or idle.
• The CCA is performed in three operational modes:
– Energy Detection mode: If the Channel energy is less than ED
threshold then the channel is reported as Idle else channel is
reported as busy.
– Carrier Sense mode: CCA reports a busy medium only if it
detects a signal with the modulation and the spreading
characteristics of IEEE 802.15.4 and which may be higher or
lower than the ED threshold.
– Carrier Sense with Energy Detection mode: This is a
combination of the fore mentioned techniques. CCA reports the
medium is busy only if it detects a signal with the modulation
and the spreading characteristics of IEEE 802.15.4 and with
energy above the ED threshold.
CSMA/CA AlgorithmCSMA/CA Algorithm
DescriptionDescription
Unslotted CSMA/CA Slotted CSMA/CA
Step1 NB(=0),CW(=1),BE are initialized. NB(=0),CW(=2),BE are initialized.
Locate the backoff boundary and
attempt for transmission or channel
assess at the start of the slot.
Step2 MAC layer shall delay for a random number of
backoff periods in the range (0 to )
Same
Step3 MAC will request PHY to perform CCA.
If the frame transmission and acknowledgment
can be completed before the end of the current
CAP then MAC sub layer shall proceed else it shall
wait until the start of the CAP in the next
SuperFrame and repeat the evaluation.
Same
Step4
(Channel is
busy)
MAC sub layer shall increment both NB and BE by
one, ensuring that BE shall be no more than
aMaxBE and if NB is greater than
maxMaxCSMABackoffs then the packet is
discarded else return to step 2.
Same and CW is reset to 2.
Step5
(Channel is
Idle)
MAC sub layer starts transmission. If CW is zero then start transmission
else return to step 3
Data Link Layer ParametersData Link Layer Parameters
Parameter Standard Name Standard Value
Beacon Order BO [0 to 15]
SuperFrame Order SO [0 to 15]
Base SuperFrame Duration aBaseSuperframeDuration 15.36 milliseconds
Min Backoff Exponent macMinBE 3
Max Backoff Exponent aMaxBE 5
Max Frame Retries aMaxframeRetries 3
Max CSMA Backoffs macMaxCSMABackoffs 4
PHY ParametersPHY Parameters
Parameter Standard Value
Frequency Band 2.4 GHz
Chip Rate 2000 McPS
Symbol Rate 62.5 kSymbolsPS
Modulation Technique O-QPSK
Unit Backoff Time 20 Symbols
Turn Around Time 12 Symbols
Transmitter Power 100 mW
Sensor Range 100 m
Receiver Sensitivity -85 dbm
ED Threshold -95 dbm
ReferencesReferences
1. Specification-based Intrusion Detection for
Home Area Networks in Smart Grids
Paria Jokar, Hasen Nicanfar, Victor C.M. Leung Department of
Electrical and Computer Engineering The University of British
Columbia
1. ZigBee for Building Control Wireless Sensor
Networks
Fabio L. Zucatto1,2, Clecio A. Biscassi2 Ferdinando Monsignore2,
Francis Fidélix2, Samuel Coutinho2, and Mônica L. Rocha1
1. ZigBee Based Wireless Sensor Networks and Its
Applications in Industrial
Shizhuang Lin1, Jingyu Liu2 and Yanjun Fang3 Department of
Automation, Wuhan University

More Related Content

PPTX
WSN network architecture -Sensor Network Scenarios & Transceiver Design Consi...
PPTX
WSN-IEEE 802.15.4 -MAC Protocol
PPTX
Versatile Low Power Media Access for Wireless Sensor Networks
PPTX
Classifications of wireless adhoc networks
PPTX
Wireless sensor network
PPTX
Performance and traffic management for WSNs
PPTX
Destination Sequenced Distance Vector Routing (DSDV)
WSN network architecture -Sensor Network Scenarios & Transceiver Design Consi...
WSN-IEEE 802.15.4 -MAC Protocol
Versatile Low Power Media Access for Wireless Sensor Networks
Classifications of wireless adhoc networks
Wireless sensor network
Performance and traffic management for WSNs
Destination Sequenced Distance Vector Routing (DSDV)

What's hot (20)

PPTX
Routing Protocols in WSN
PPTX
Transport control protocols for Wireless sensor networks
PPTX
Routing in Wireless Sensor Networks
PPTX
Schedule and Contention based MAC protocols
PPTX
Adhoc wireless networks and its issues
PPT
An Energy Aware QOS Routing Protocol
PPT
Wsn 08
PDF
TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEY
PPSX
Qo s provisioning for scalable video streaming over ad hoc networks using cro...
PDF
Fault tolerance in wireless sensor networks by Constrained Delaunay Triangula...
PPTX
Wireless Sensor Network Routing Protocols
PPTX
AODV (adhoc ondemand distance vector routing)
PPTX
MANET routing protocols Issues and Classifications
PPTX
WSN Routing Protocols
PPTX
Swayambhoo Presentation (2)
PPT
CS6003 AD HOC AND SENSOR NETWORKS
PDF
Mac protocols sensor_20071105_slideshare
PPTX
WSN NETWORK -MAC PROTOCOLS - Low Duty Cycle Protocols And Wakeup Concepts – ...
PDF
Lecture 23 27. quality of services in ad hoc wireless networks
PPTX
wsn routing protocol
Routing Protocols in WSN
Transport control protocols for Wireless sensor networks
Routing in Wireless Sensor Networks
Schedule and Contention based MAC protocols
Adhoc wireless networks and its issues
An Energy Aware QOS Routing Protocol
Wsn 08
TIME SYNCHRONIZATION IN WIRELESS SENSOR NETWORKS: A SURVEY
Qo s provisioning for scalable video streaming over ad hoc networks using cro...
Fault tolerance in wireless sensor networks by Constrained Delaunay Triangula...
Wireless Sensor Network Routing Protocols
AODV (adhoc ondemand distance vector routing)
MANET routing protocols Issues and Classifications
WSN Routing Protocols
Swayambhoo Presentation (2)
CS6003 AD HOC AND SENSOR NETWORKS
Mac protocols sensor_20071105_slideshare
WSN NETWORK -MAC PROTOCOLS - Low Duty Cycle Protocols And Wakeup Concepts – ...
Lecture 23 27. quality of services in ad hoc wireless networks
wsn routing protocol
Ad

Similar to Wireless Sensor Network (20)

PPTX
Thesis Presentation on Renewal theory based 802.15.6 latest.pptx
PDF
IRJET- Analysis of Slotted CSMA/CA of IEEE 802.15.4
PPT
WSN protocol 802.15.4 together with cc2420 seminars
PDF
8-ZigBee (2).pdf
PPT
Zigbee 802-15-4
PPT
Zigbee
KEY
Wireless Communication And Mobile Network - ZigBee
PPTX
Wireless Sensor network
PPT
PDF
A Novel Medium Access Control Strategy for Heterogeneous Traffic in Wireless ...
PDF
A Novel Medium Access Control Strategy for Heterogeneous Traffic in Wireless ...
PDF
B010630409
PPTX
PDF
A simulation model of ieee 802.15.4 in om ne t++
PDF
16 6 feb17 13473 27587-1-rvfinal(edit)
PPTX
WPAN According To ZIGBEE
PPTX
Csmaca
PDF
Anfis Based Soft Gts Mechanism For Ieee 802.15.4 Wsn
PDF
Queue Size Trade Off with Modulation in 802.15.4 for Wireless Sensor Networks
PDF
Wireless zigbee communicationtechnology
Thesis Presentation on Renewal theory based 802.15.6 latest.pptx
IRJET- Analysis of Slotted CSMA/CA of IEEE 802.15.4
WSN protocol 802.15.4 together with cc2420 seminars
8-ZigBee (2).pdf
Zigbee 802-15-4
Zigbee
Wireless Communication And Mobile Network - ZigBee
Wireless Sensor network
A Novel Medium Access Control Strategy for Heterogeneous Traffic in Wireless ...
A Novel Medium Access Control Strategy for Heterogeneous Traffic in Wireless ...
B010630409
A simulation model of ieee 802.15.4 in om ne t++
16 6 feb17 13473 27587-1-rvfinal(edit)
WPAN According To ZIGBEE
Csmaca
Anfis Based Soft Gts Mechanism For Ieee 802.15.4 Wsn
Queue Size Trade Off with Modulation in 802.15.4 for Wireless Sensor Networks
Wireless zigbee communicationtechnology
Ad

More from Dr Praveen Jain (7)

PDF
NetSim User Manual
PDF
NetSim Experiment Manual
PDF
Anna University Netsim Experiment Manual
PDF
Maharastra CCN NetSim Experiment Manual
PDF
Maharastra EXTC NetSim Experiment Manual
PPT
Dynamic Source Routing Sink hole attack
PPT
Cognitive Radio Network
NetSim User Manual
NetSim Experiment Manual
Anna University Netsim Experiment Manual
Maharastra CCN NetSim Experiment Manual
Maharastra EXTC NetSim Experiment Manual
Dynamic Source Routing Sink hole attack
Cognitive Radio Network

Recently uploaded (20)

DOCX
The AUB Centre for AI in Media Proposal.docx
PDF
MIND Revenue Release Quarter 2 2025 Press Release
PPTX
Digital-Transformation-Roadmap-for-Companies.pptx
PDF
cuic standard and advanced reporting.pdf
PPT
“AI and Expert System Decision Support & Business Intelligence Systems”
PDF
Blue Purple Modern Animated Computer Science Presentation.pdf.pdf
PDF
Machine learning based COVID-19 study performance prediction
PDF
Unlocking AI with Model Context Protocol (MCP)
PDF
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
PDF
Per capita expenditure prediction using model stacking based on satellite ima...
PDF
Dropbox Q2 2025 Financial Results & Investor Presentation
PDF
The Rise and Fall of 3GPP – Time for a Sabbatical?
PPT
Teaching material agriculture food technology
PPTX
Effective Security Operations Center (SOC) A Modern, Strategic, and Threat-In...
PPTX
KOM of Painting work and Equipment Insulation REV00 update 25-dec.pptx
PDF
How UI/UX Design Impacts User Retention in Mobile Apps.pdf
PDF
Network Security Unit 5.pdf for BCA BBA.
PDF
Profit Center Accounting in SAP S/4HANA, S4F28 Col11
PDF
Diabetes mellitus diagnosis method based random forest with bat algorithm
PDF
Approach and Philosophy of On baking technology
The AUB Centre for AI in Media Proposal.docx
MIND Revenue Release Quarter 2 2025 Press Release
Digital-Transformation-Roadmap-for-Companies.pptx
cuic standard and advanced reporting.pdf
“AI and Expert System Decision Support & Business Intelligence Systems”
Blue Purple Modern Animated Computer Science Presentation.pdf.pdf
Machine learning based COVID-19 study performance prediction
Unlocking AI with Model Context Protocol (MCP)
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
Per capita expenditure prediction using model stacking based on satellite ima...
Dropbox Q2 2025 Financial Results & Investor Presentation
The Rise and Fall of 3GPP – Time for a Sabbatical?
Teaching material agriculture food technology
Effective Security Operations Center (SOC) A Modern, Strategic, and Threat-In...
KOM of Painting work and Equipment Insulation REV00 update 25-dec.pptx
How UI/UX Design Impacts User Retention in Mobile Apps.pdf
Network Security Unit 5.pdf for BCA BBA.
Profit Center Accounting in SAP S/4HANA, S4F28 Col11
Diabetes mellitus diagnosis method based random forest with bat algorithm
Approach and Philosophy of On baking technology

Wireless Sensor Network

  • 1. IEEE 802.15.4 LR-WPAN Wireless Sensor Networks(WSN)Wireless Sensor Networks(WSN) NetSim v9.1NetSim v9.1 Network Simulation/Emulation Platform
  • 2. IntroductionIntroduction • IEEE 802.15.4 LR-WPAN(Low data Rate - Wireless Personal Area Networks) standard is widely used because of its position independent sensing capabilities even in toxic and inaccessible regions to humans. • Sensors are low cost and can be randomly placed as long as they are in some sensors coverage area.
  • 3. ApplicationsApplications • Area Monitoring – WSN is deployed over a region where some phenomenon is to be monitored like detecting enemy intrusion etc., • Forest Fire Detection – A network of Sensor Nodes can be installed in a forest to detect when a fire has started. • Battlefield surveillance • Reference: Wikipedia
  • 4. Devices in WSNDevices in WSN • WSN has mainly two types for devices;FFD,RFD • FFD or Full Functional Device – Senses the agent – Routes packets and – Initialize the Network(act as PAN Coordinator) – Can communicate with another RFD or FFD • RFD or Reduced Functional Device – Can only sense the agent – Can communicate with FFD only
  • 5. Sink nodeSink node • Sink node is the principal controller in WPAN and there is only one PAN Coordinator in a WSN. • If Sink node uses Beacon enabled mode then nodes use Slotted CSMA/CA algorithm for transmitting packets else nodes use Unslotted CSMA/CA.
  • 6. AgentAgent • Sensors sense the Agent and generate a packet containing its position if the agent is in its sensitivity range. • In NetSim, Agent mobility is modeled by RandomWalk and RandomWayPoint which are followed internationally to test WSN. • For each of the models we can set its velocity and pause time(only random way point) and also we can capture the agents path for the whole simulation.
  • 7. SensorSensor • WSN consists of spatially distributed sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main location(Sink node).
  • 9. IEEE 802.15.4 operational modesIEEE 802.15.4 operational modes
  • 10. Beacon FrameBeacon Frame • Beacons occupy the first slot in SuperFrame. • Beacons are used to synchronize the attached devices, to identify the PAN, and to describe the structure of the super frames. • Beacon frames are transmitted periodically to announce the presence of a network.
  • 11. SuperFrame StructureSuperFrame Structure The superframe is contained in a Beacon Interval bounded by two beacon frames, and has an active period and an inactive period
  • 13. Active PeriodActive Period • Active period consists of two periods – Contention Access Period (CAP) – Contention Free Period (CFP) • Length of active period is determined by the SuperFrame Order • Active Period Length = aBaseSuperframeDuration * symbols 2 SO
  • 14. Contention Access Period (CAP)Contention Access Period (CAP) • In CAP all the nodes having a packet to transmit compete for the channel and follows Slotted CSMA/CA algorithm. • A sufficient portion of the CAP remains for contention- based access of other networked devices or new devices wishing to join the network.
  • 15. Contention Free Period (CFP)Contention Free Period (CFP) • CFP is used to allocate slots for the nodes which require low latency i.e., PAN coordinator allocates guaranteed time slots (GTS) for such nodes. • A node issues GTS allocation request to the PAN coordinator, which can allocate available GTS to nodes. • In the CFP, the node requested for GTS can transmit during its GTS if it is allocated, without any contention with other devices. • CFP can be disabled by disabling GTS.
  • 16. Inactive periodInactive period • In the inactive period, the coordinator may enter a low-power mode and doesn’t interact with its PAN which helps in reduced energy consumption and so extends the network lifetime • Inactive period can be remove by setting SuperFrame Order same as Beacon Order SOBO ≡
  • 17. PacketPacket • Packet is generated by the sensor whenever agent comes with in its sensor range and for every sensing interval. • Each packet is characterized by 3 variables NB,CW,BE – NB, Number of backoffs the node has underwent while attempting the current transmission, initialized to 0 before every new transmission – CW, Contention Window Length, which defines the number of backoff periods that need to be clear of channel activity before starting transmission. CW is only used with the slotted CSMA/CA version. This value is initialized to 2 before each transmission attempt and reset to 2 each time the channel is assessed to be busy. – BE, Backoff exponent is related to backoff periods (0 to 2BE -1) a device has to wait before attempting to assess the channel.
  • 18. Clear Channel Assessment (CCA)Clear Channel Assessment (CCA) • CCA is responsible for sensing channel as busy or idle. • The CCA is performed in three operational modes: – Energy Detection mode: If the Channel energy is less than ED threshold then the channel is reported as Idle else channel is reported as busy. – Carrier Sense mode: CCA reports a busy medium only if it detects a signal with the modulation and the spreading characteristics of IEEE 802.15.4 and which may be higher or lower than the ED threshold. – Carrier Sense with Energy Detection mode: This is a combination of the fore mentioned techniques. CCA reports the medium is busy only if it detects a signal with the modulation and the spreading characteristics of IEEE 802.15.4 and with energy above the ED threshold.
  • 20. DescriptionDescription Unslotted CSMA/CA Slotted CSMA/CA Step1 NB(=0),CW(=1),BE are initialized. NB(=0),CW(=2),BE are initialized. Locate the backoff boundary and attempt for transmission or channel assess at the start of the slot. Step2 MAC layer shall delay for a random number of backoff periods in the range (0 to ) Same Step3 MAC will request PHY to perform CCA. If the frame transmission and acknowledgment can be completed before the end of the current CAP then MAC sub layer shall proceed else it shall wait until the start of the CAP in the next SuperFrame and repeat the evaluation. Same Step4 (Channel is busy) MAC sub layer shall increment both NB and BE by one, ensuring that BE shall be no more than aMaxBE and if NB is greater than maxMaxCSMABackoffs then the packet is discarded else return to step 2. Same and CW is reset to 2. Step5 (Channel is Idle) MAC sub layer starts transmission. If CW is zero then start transmission else return to step 3
  • 21. Data Link Layer ParametersData Link Layer Parameters Parameter Standard Name Standard Value Beacon Order BO [0 to 15] SuperFrame Order SO [0 to 15] Base SuperFrame Duration aBaseSuperframeDuration 15.36 milliseconds Min Backoff Exponent macMinBE 3 Max Backoff Exponent aMaxBE 5 Max Frame Retries aMaxframeRetries 3 Max CSMA Backoffs macMaxCSMABackoffs 4
  • 22. PHY ParametersPHY Parameters Parameter Standard Value Frequency Band 2.4 GHz Chip Rate 2000 McPS Symbol Rate 62.5 kSymbolsPS Modulation Technique O-QPSK Unit Backoff Time 20 Symbols Turn Around Time 12 Symbols Transmitter Power 100 mW Sensor Range 100 m Receiver Sensitivity -85 dbm ED Threshold -95 dbm
  • 23. ReferencesReferences 1. Specification-based Intrusion Detection for Home Area Networks in Smart Grids Paria Jokar, Hasen Nicanfar, Victor C.M. Leung Department of Electrical and Computer Engineering The University of British Columbia 1. ZigBee for Building Control Wireless Sensor Networks Fabio L. Zucatto1,2, Clecio A. Biscassi2 Ferdinando Monsignore2, Francis Fidélix2, Samuel Coutinho2, and Mônica L. Rocha1 1. ZigBee Based Wireless Sensor Networks and Its Applications in Industrial Shizhuang Lin1, Jingyu Liu2 and Yanjun Fang3 Department of Automation, Wuhan University