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Mobile Networks and Applications
Erschienen in: Mobile Networks and Applications 2/2013

01.04.2013

An Improved Fuzzy Unequal Clustering Algorithm for Wireless Sensor Network

Erschienen in: Mobile Networks and Applications | Ausgabe 2/2013

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Abstract

This paper introduces IFUC, which is an Improved Fuzzy Unequal Clustering scheme for large scale wireless sensor networks (WSNs).It aims to balance the energy consumption and prolong the network lifetime. Our approach focuses on energy efficient clustering scheme and inter-cluster routing protocol. On the one hand, considering each node’s local information such as energy level, distance to base station and local density, we use fuzzy logic system to determine each node’s chance of becoming cluster head and estimate the cluster head competence radius. On the other hand, we use Ant Colony Optimization (ACO) method to construct the energy-aware routing between cluster heads and base station. It reduces and balances 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 validation experiment results have indicated that the proposed clustering scheme performs much better than many other methods such as LEACH, CHEF and EEUC.
Vorheriger Artikel Layered Fault Management Scheme for End-to-end Transmission in Internet of Things
Nächster Artikel Phase Coded Waveform Design for Sonar Sensor Network

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Metadaten
Titel
An Improved Fuzzy Unequal Clustering Algorithm for Wireless Sensor Network
Publikationsdatum
01.04.2013
Erschienen in
Mobile Networks and Applications / Ausgabe 2/2013
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-012-0356-4

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