Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks

Energy load balancing is an essential issue in designing wireless sensor networks (WSNs). Clustering techniques are utilized as energy-efficient methods to balance the network energy and prolong its lifetime. In this article, we propose an improved soft-<inline-formula> <tex-math notation=&...

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Veröffentlicht in:	IEEE internet of things journal Jg. 8; H. 6; S. 4868 - 4881
Hauptverfasser:	Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, Henry, Jerome
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 15.03.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Approximation algorithms Clustering Clustering algorithms Clustering by fast search and find of density peaks (CFSFDPs) Death Density Energy consumption energy load balancing kernel density estimation (KDE) Logic gates multicluster heads (multi-CHs) Nodes Probability Routing soft <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">k -means Wireless networks Wireless sensor networks wireless sensor networks (WSNs)
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
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