simulation on zigbee
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Simulation on ZigbeeWireless Network
Performance
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2005.06.1
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Outline
� Introduction
� Two previously proposed measurement
� Design of analysis
� Reference & related work
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Introduction
� Evaluate Zigbee(802.15.4) technology
Low energy consume
Low data rate
� Using simulator to analyze performance of Zigbee.
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Two previous work
� Performance Evaluation of the IEEE802.15.4 MAC for Low-Rate Low-PowerWireless Networks
� Analysis of the performance of IEEE802.15.4 for medical sensor body area
networking
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Performance Evaluation of the IEEE802.15.4 MAC for Low-Rate Low-Power
Wireless Networks� NS-2 network simulator + CMU wireless extension� Radio characteristics:
� 7 × 7 grid with 4m between nodes, node at center iscoordinator.
� Simulation are run independently.� The result is averaged under 10 different seeds.� Sources generate packets at constant average rate
with 50% randomization in inter-packet interval.
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Performance Evaluation of the IEEE802.15.4 MAC for Low-Rate Low-Power
Wireless Networks� CSMA-CA in CAP
Throughput for different numbers of sources
Delivery ration for different numbers of sources
� Duty Cycle
Delay as a function of duty cycle
E nergy consumption of source device as a function of duty cycle
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Performance Evaluation of the IEEE802.15.4 MAC for Low-Rate Low-Power
Wireless Networks� Guaranteed Time Slots: performance under
different background traffic
latency
Energy Delivery ratio
� Synchronization
Energy cost with tracking and non-tracking
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Analysis of the performance of IEEE802.15.4 for medical sensor body area
networking
� The star network consisted of thecoordinator and 10 body implanted sensors
� Transceiver parameters (chipcon CC2420)
� The CSMA/CA performance will be shownfor much larger networks.
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Analysis of the performance of IEEE802.15.4 for medical sensor body area
networking
� CSMA-CA Effect
In beacon or non-beacon networks
Average number of back-off periods for number of sensors
Average number of back-off periods for upload /download rate per hour
� GTS Effect
GTS timeslot on sensor lifetime.
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Analysis of the performance of IEEE802.15.4 for medical sensor body area
networking
� Node lifetime in beacon networks
In both beacon and non-beacon networks
Crystal tolerance on symmetric sensor lifetime with communication rate 1/hr.
Crystal tolerance on asymmetric sensor lifetime with fixed packet size of 1000 bits and 1/hr download rate.
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Design of analysis
� Measurement
BER ( Bit Error Rate )
� Rate of correct transmission
Latency
� Delay time
Retransmission times
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Design of analysis
� Scope Variable
Single-hop
Multi-hop
� Environment variable Indoor
Outdoor
� Other variable
Node number
Packet size
Transmission channel
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Reference
� G. Lu et al., ³Performance evaluation of theIEEE 802.15.4 MAC for low-rate low-powerwireless networks,´ in IEEE International Conference on Performance, Computing, and Communications (IPCCC), 2004.
� N. Timmons and W. Scanlon, ³Analysis of the performance of IEEE 802.15.4 for
medical sensor body area networking,´ IEEE Sensor and Ad Hoc Communications and Networks Conference (SECON), 2004.
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Reference
� Jon Adams, ³Meet the ZigBee Standard´, 2004 onhttp://www.sensorsmag.com/articles/0603/14/.
� Andreas Andersson, and Mattias Thoren, ³Z IGBEE, ASUITABLE BASE FOR EMBEDDED WIRELESS DEVELOPMENT?´ , 2005 Chalmers technology report.
� Ed Callaway, P. Gorday, L. Hester, J.A. Gutierrez, M.Neave, B. Heile, V. Bahl, "Home networking withIEEE 802.15.4: A developing standard for low-ratewireless personal area networks," IEEE Communication Magazine, vol. 40, no. 8, pp. 70-77,August 2002.
� William C. Craig, ³Z igbee: ³Wireless Control That Simply Works´ , 2004 on www.zigbee.org.
� Becta TeckNews February 2005