DocumentCode :
449683
Title :
Online adaptive application-driven WLAN power management
Author :
Jiao, Yu ; Hurson, Ali R. ; Shirazi, Behrooz A.
Author_Institution :
Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA
Volume :
5
fYear :
2005
fDate :
2-2 Dec. 2005
Lastpage :
2668
Abstract :
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 users 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 demonstrated strong adaptability to network congestion
Keywords :
wireless LAN; IEEE 802.11b WLAN; adaptive application-driven power management; network congestion; Computer network management; Computer science; Energy consumption; Energy management; Power system management; Protocols; Switches; Throughput; Wireless LAN; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2005. GLOBECOM '05. IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
0-7803-9414-3
Type :
conf
DOI :
10.1109/GLOCOM.2005.1578243
Filename :
1578243
Link To Document :
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