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Wireless Networks
Published in: Wireless Networks 3/2020

17-11-2018

An information entropy based-clustering algorithm for heterogeneous wireless sensor networks

Authors: Walid Osamy, Ahmed Salim, Ahmed M. Khedr

Published in: Wireless Networks | Issue 3/2020

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Abstract

This paper proposes a novel dynamic, distributive, and self-organizing entropy based clustering scheme that benefits from the local information of sensor nodes measured in terms of entropy and use that as criteria for cluster head election and cluster formation. It divides the WSN into two-levels of hierarchy and three-levels of energy heterogeneity of sensor nodes. The simulation results reveal that the proposed approach outperforms existing baseline algorithms in terms of energy consumption, stability period, and the network lifetime.
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Metadata
Title
An information entropy based-clustering algorithm for heterogeneous wireless sensor networks
Authors
Walid Osamy
Ahmed Salim
Ahmed M. Khedr
Publication date
17-11-2018
Publisher
Springer US
Published in
Wireless Networks / Issue 3/2020
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-018-1877-y

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