Skip to main content
Article
Adaptive Application-driven WLAN Power Management
Journal of Pervasive and Mobile Coomputing
  • A. R. Hurson, Missouri University of Science and Technology
  • Yu Jiao
  • Behrooz Shirazi
Abstract

In this paper we present an previous term adaptive application-driven power managementnext term (AADPM) strategy with online idle period length distribution learning capability for the IEEE 802.11b previous termWLAN.next term We discuss its design and evaluate the performance in comparison with other previous termpower managementnext term strategies using the network simulator NS2. We simulated both the single user and multiple user scenarios. Experimental results have shown that, compared with other previous termpower managementnext term methods examined in this paper, AADPM achieved the highest energy saving in all cases and it demonstrated strong adaptability to network congestion.

Department(s)
Computer Science
Sponsor(s)
National Science Foundation (U.S.)
United States. Office of Naval Research
Keywords and Phrases
  • Algorithm/Protocol Design and Analysis,
  • Energy-Aware Systems,
  • Mobile communication systems
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2007 Elsevier, All rights reserved.
Publication Date
6-1-2007
Publication Date
01 Jun 2007
Disciplines
Citation Information
A. R. Hurson, Yu Jiao and Behrooz Shirazi. "Adaptive Application-driven WLAN Power Management" Journal of Pervasive and Mobile Coomputing (2007)
Available at: http://works.bepress.com/a-hurson/1/