DocumentCode :
1550252
Title :
Access Point Buffer Management for Power Saving in IEEE 802.11 WLANs
Author :
Zhu, Yi-hua ; Lu, Han-cheng ; Leung, Victor C M
Author_Institution :
Sch. of Comput. Sci. & Technol., Zhejiang Univ. of Technol., Hangzhou, China
Volume :
9
Issue :
4
fYear :
2012
fDate :
12/1/2012 12:00:00 AM
Firstpage :
473
Lastpage :
486
Abstract :
It is crucial to save power and prolong the runtime of mobile stations (STAs) in wireless local area networks (WLANs). In an infrastructure WLAN, a STA cannot be connected until it is associated with an access point (AP), which is responsible for buffering frames for all the associated STAs operating in the power saving mode. Hence, efficient memory utilization is critical for an AP to accommodate as many power-saving STAs as possible. The basic power management (BPM) scheme introduced in the IEEE 802.11 standard achieves power saving by allowing STAs not engaging in data delivery to operate in doze mode, but it does not consider the efficient use of the memory in the AP. To tradeoff power consumption for memory usage, we present an AP-priority timer-based power management (APP-TPM) scheme and develop a novel model for stochastic analysis of the proposed scheme. Based on this model, the probability distributions of the numbers of frames buffered at the AP and the average numbers of frames buffered at the AP are obtained. Moreover, a power-aware buffer management scheme (PBMS), which is based on the derived statistics, is proposed to accommodate as many STAs as possible given a fixed amount of memory in the AP while maintaining low power consumption. Simulation results show that the proposed scheme performs better than BPM in terms of memory usage in the AP.
Keywords :
computer network management; probability; stochastic processes; telecommunication standards; wireless LAN; AP-priority timer based power management; APP-TPM; BPM; IEEE 802.11; PBMS; access point; basic power management; buffering frames; doze mode; low power consumption; memory utilization; mobile stations; power saving mode; power-aware buffer management scheme; probability distributions; stochastic analysis; wireless local area networks; Analytical models; IEEE 802.11 Standards; Memory management; Power demand; Power system management; Random variables; Wireless LAN; IEEE 802.11; Power management; WLAN; power saving;
fLanguage :
English
Journal_Title :
Network and Service Management, IEEE Transactions on
Publisher :
ieee
ISSN :
1932-4537
Type :
jour
DOI :
10.1109/TNSM.2012.062512.110188
Filename :
6228474
Link To Document :
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