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Wireless Networks
Erschienen in: Wireless Networks 3/2020

17.11.2018

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

verfasst von: Walid Osamy, Ahmed Salim, Ahmed M. Khedr

Erschienen in: Wireless Networks | Ausgabe 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.
Vorheriger Artikel A novel approach of WSN routing protocols comparison for forest fire detection
Nächster Artikel Impact of symmetric and asymmetric fading channels on dual-hop AF relay system with SSK modulation

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Metadaten
Titel
An information entropy based-clustering algorithm for heterogeneous wireless sensor networks
verfasst von
Walid Osamy
Ahmed Salim
Ahmed M. Khedr
Publikationsdatum
17.11.2018
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 3/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-018-1877-y

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