xiaodong wang, jun yin and dharma p. agrawal university of cincinnati, cincinnati, ohio
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Effects of Contention Window and Packet Size on the Energy Efficiency of Wireless Local Area Network. Xiaodong Wang, Jun Yin and Dharma P. Agrawal University of Cincinnati, Cincinnati, Ohio. IEEE WCNC 2005. Outlines. Introduction Analysis methods Packet transmission probability - PowerPoint PPT PresentationTRANSCRIPT
Effects of Contention Window and Packet Size on the Energy Efficiency of
Wireless Local Area Network
Xiaodong Wang, Jun Yin andDharma P. Agrawal
University of Cincinnati, Cincinnati, Ohio.
IEEE WCNC 2005
Outlines
• Introduction
• Analysis methods– Packet transmission probability– Energy efficiency analysis– Packet error probability
• Simulations
• Conclusions
Introduction
• Technology in battery capacity hasn’t a big advance in recent years
• Energy efficiency is one of the most important challenging problems in wireless communications
Introduction (cont.)
• 802.11 standard specifies a power saving mode (PSM)– Synchronized
• This paper concentrate on 802.11 DCF protocol
Introduction (cont.)
• In 802.11 DCF, energy could be consumed by– Idle listening– Transmission / Receiving
• Packet size
– Collision• Exponential backoff procedure (CW)
Goal
• Optimize energy efficiency by the analytical model– Optimal contention window– Optimal packet size
Packet transmission probability
• The probability to send a packet successfully after i times of unsuccessful transmission is Pi
where pu indicates the unsuccessful probability
• With maximum backoff stage m and retry count m ’
when m’ ≦ m
when m’ > m
Packet transmission probability
• τis the average probability of each node to send a packet if the medium is idle
• Collision probability p
• Transmission error probability
Packet transmission probability
• Probabilities of – transmission in one of the other (n-1) node– contends successfully of any other (n-1) node– transmits successfully of any other (n-1) node
Packet transmission probability
• Average number of unsuccessful transmission
Energy efficiency analysis
Collision
Error
• Time of success / collision
• Total energy consumption of a successful transmission
Energy efficiency analysis
Backoff Freeze Collision Error Success
• Time of backoff period
Energy efficiency analysis
• Average number of transmission overhead can be expressed by
we could get E_FR
Energy efficiency analysis
• E_SU can simply expressed by
• Finally, we get η
Energy efficiency analysis
Simulations
• System parameters
Energy efficiency of DCF under ideal and non-ideal environment
n=20CWmin=32PKT = 1000B
Effects of CWmin on the energy efficiency of DCF
n=20PKT = 1000B
Effects of packet size on the energy efficiency of DCF with RTS/CTS
n=20
Comparison of optimal packet size and optimal CWmin
Conclusions
• This paper present the analysis of the energy efficiency in 802.11 DCF– Compare the impact of CW and Packet
size
• Packet size can effect the energy efficiency under error-prone channel