Adaptive application-driven WLAN power management

被引：3
|
作者：
Jiao, Yu [1 ]
Hurson, Ali R. [1 ]
Shirazi, Behrooz [2 ]
机构：
[1] Penn State Univ, Dept Comp Sci & Engn, University Pk, PA 16802 USA
[2] Washington State Univ, Sch Elect Engn & Comp Sci, Pullman, WA 99164 USA
来源：
PERVASIVE AND MOBILE COMPUTING | 2007年 / 3卷 / 03期
基金：
美国国家科学基金会;
关键词：
Energy-aware systems; Mobile communication systems; Algorithm/protocol design and analysis;
D O I：
10.1016/j.pmcj.2006.12.003
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we present an adaptive application-driven power management (AADPM) strategy with online idle period length distribution learning capability for the IEEE 802.11b WLAN. We discuss its design and evaluate the performance in comparison with other power management strategies using the network simulator NS2. We simulated both the single user and multiple user scenarios. Experimental results have shown that, compared with other power management methods examined in this paper, AADPM achieved the highest energy saving in all cases and it demonstrated strong adaptability to network congestion. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码：255 / 275
页数：21
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