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
Link To Document :
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