DocumentCode
1778859
Title
Green AP Dynamic and Adaptive Control Algorithm
Author
Ma Lin ; Zheng Xiuming ; Qin Danyang ; Lu Yang
Author_Institution
Harbin Inst. of Technol. Commun. Res. Center, Harbin, China
fYear
2014
fDate
18-20 Sept. 2014
Firstpage
299
Lastpage
305
Abstract
Wireless local networks (WLANs) are being deployed rapidly all over the world, which often contain large numbers of idle APs. The purpose of Green WLAN is to reduce the energy consumption without compromising the quality of service for end-users. In this paper, a dynamic and adaptive control algorithm of AP is proposed in order to save energy and prolong the service lives of APs. It includes AP selection which is solved with genetic algorithm and aimed to guarantee the whole coverage of WLAN, AP clustering, and the dynamic control algorithm of AP. Then simulation is operated on a virtual WLAN of high-density. The result shows that the dynamic and adaptive control algorithm of AP can indeed save much energy and improve the use efficiency of APs.
Keywords
adaptive control; genetic algorithms; green computing; power aware computing; quality of service; wireless LAN; workstation clusters; AP clustering; WLANs; energy consumption reduction; genetic algorithm; green AP adaptive control algorithm; green AP dynamic control algorithm; green WLAN; quality of service; use efficiency; virtual WLAN; wireless local networks; Clustering algorithms; Genetic algorithms; Green products; Heuristic algorithms; Quality of service; Telecommunication traffic; Wireless LAN; AP selection; energy saving; genetic algorithm; green WLAN;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4799-6574-8
Type
conf
DOI
10.1109/IMCCC.2014.69
Filename
6995039
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