DocumentCode
2312851
Title
A Novel Cluster Formation Approach Based on The ILP for Wireless Sensor Networks
Author
Dai, Shijin ; Li, Lemin ; Xu, Du
Author_Institution
Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear
2006
fDate
25-27 Oct. 2006
Firstpage
1
Lastpage
5
Abstract
Wireless sensor networks (WSNs) have been widely studied and usefully employed in many applications. WSNs consist of small battery powered devices with limited energy resource. Once deployed, the tiny sensor nodes are usually inaccessible to the users. Hence, power efficiency is an important design goal that needs to be enhanced in order to prolong the effective lifetime of a network with a limited power supply. Organizing wireless sensor networks into clusters enables the efficient utilization of the limited energy resources of the deployed sensor nodes. In this paper, a novel cluster formation algorithm based on the ILP is presented according to considering the energy consumption as an optimization parameter while clustering is imperative. Then, we model this problem using integer linear programming (ILP) method and give the solution to it. At last, we make a comparison between the novel algorithm and the cluster formation method using in LEACH
Keywords
integer programming; linear programming; wireless sensor networks; ILP; LEACH; cluster formation approach; integer linear programming; limited energy resources utilization; wireless sensor networks; Base stations; Batteries; Clustering algorithms; Energy consumption; Energy resources; Integer linear programming; Power supplies; Signal processing algorithms; Wireless communication; Wireless sensor networks; cluster; energy consumption; integer linear programming (ILP); wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Networking in China, 2006. ChinaCom '06. First International Conference on
Conference_Location
Beijing
Print_ISBN
1-4244-0463-0
Electronic_ISBN
1-4244-0463-0
Type
conf
DOI
10.1109/CHINACOM.2006.344823
Filename
4149788
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