NDLI: An Unequal Clustering Algorithm Based on Fuzzy Theory for Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Liu Sheng Qi Bing Tang Liangrui
Copyright Year	2012
Abstract	In this paper an unequal clustering algorithm based on fuzzy theory (FTUC) is proposed. Firstly, to extend lifetime of wireless sensor networks (WSN), the network region is divided into several virtual blocks (VBs) in FTUC. According to the principle of energy minimization, the optimal number of cluster heads (CHs) is calculated to control the number and the size of the VB. Secondly, the residual energy of node, the energy compensation factor and the communication cost within VB are used to construct CH selection formula based on fuzzy theory, which can balance network load. Thirdly, in the CHs routing phase, the base station (BS) is considered as a candidate CH and a cluster routing tree to BS is built to reduce the energy consumption of the whole network. Simulation results prove FTUC significantly prolongs the network lifetime in large area WSN scenarios.
Starting Page	84
Ending Page	88
File Size	697591
Page Count	5
File Format	PDF
ISBN	9781467304702
DOI	10.1109/ICICTA.2012.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis fuzzy theory Energy consumption Wireless sensor networks wireless sensor networks virtual block Clustering algorithms Nominations and elections routing protocol Routing unequal cluster Load modeling
Content Type	Text
Resource Type	Article

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