DocumentCode :
170548
Title :
Modeling AP´s substitutability in dense-deployed WLANs
Author :
Yuntao Fan ; Hewu Li ; Wenqi Sun
Author_Institution :
Tsinghua Nat. Lab. for Infomation Sci. & Technol. (TNList), Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
16-18 May 2014
Firstpage :
525
Lastpage :
528
Abstract :
For supporting peak usage, APs (Access Points) are always placed densely in today´s WLAN, which leads to excessive energy consumption at the same time. Clustering APs of the same area and switching off some APs for normal network access are the main solution to saving energy. How to cluster APs and find the substitutability of APs is the key. RSSI between APs used to cluster APs in related research is not good enough for finding the substitutability of APs, since the substitutability of APs should be from not AP side but user side. This paper introduces a model of the AP´s substitutability using RSSI that APs hear from users. Moreover, the relationship of coverage loss and substitutability can be quantified through the model, which can significantly reduce coverage loss while saving nearly the same amount of energy as related works. The strong point is that no matter how densely or scarcely APs are deployed, our model can work because it takes coverage into consideration inherently. Experiment results show that the model of AP substitutability is valid and stable.
Keywords :
telecommunication power management; wireless LAN; AP substitutability modeling; RSSI; access points; coverage loss reduction; dense-deployed WLAN; energy consumption; energy saving; network access; peak usage; Educational institutions; Energy consumption; Mobile communication; Mobile computing; Wireless LAN; Wireless networks; AP substitutability; WLAN; modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
Type :
conf
DOI :
10.1109/PIC.2014.6972390
Filename :
6972390
Link To Document :
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