NDLI: An improved fuzzy unequal clustering algorithm for wireless sensor network

Content Provider	IEEE Xplore Digital Library
Author	Song Mao Chenglin Zhao Zheng Zhou Yabin Ye
Copyright Year	2011
Description	Author affiliation: Key Laboratory of Universal Wireless Communication, Ministry of Education, China (Song Mao; Chenglin Zhao; Zheng Zhou) \|\| European Research Center, Huawei Technologies, Duesseldorf GmbH, Germany (Yabin Ye)
Abstract	This paper proposes a novel energy efficient unequal clustering scheme for large scale wireless sensor networks(WSNs) which aims to balance the node power consumption and prolong the network lifetime as long as possible. Our approach focuses on energy efficient clustering scheme and inter-cluster routing protocol. On the one hand, considering each node's some local information such as energy level, distance to base station and local density, we use fuzzy logic system to determine one node's chance of becoming cluster head and estimate the cluster-head radius. On the other hand, the application of Ant Colony Optimization (ACO) to inter-cluster routing constructs energy-aware routing between cluster heads and base station, which reduces the energy consumption of cluster heads and solves the hot spots problem that occurs in multi-hop WSN routing protocol to a large extent. The confirmation experiment results have indicated the proposed clustering scheme has more superior performance than other methods such as LEACH and EEUC.
Starting Page	245
Ending Page	250
File Size	283019
Page Count	6
File Format	PDF
ISBN	9781457701009
e-ISBN	9781457701016
DOI	10.1109/ChinaCom.2011.6158157
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic unequal clustering Wireless sensor networks Energy consumption Fuzzy sets Transmitters ant colony optimization Clustering algorithms wireless sensor network fuzzy logic Routing network lifetime
Content Type	Text
Resource Type	Article

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