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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 4/2019

12.02.2019

MSoC: Multi-scale Optimized Clustering for Energy Preservation in Wireless Sensor Network

verfasst von: A. P. Jyothi, S. Usha

Erschienen in: Wireless Personal Communications | Ausgabe 4/2019

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Abstract

Energy efficient clustering has always been the center of attention among the research community pertaining to wireless sensor network (WSN). Till last decade, there have been significant studies towards clustering technique as well as energy efficiency, but no robust solution has yet been evolved. Therefore, this manuscript introduces a unique optimization scheme for the purpose of enhancing the clustering techniques. The technique is called as MSoC or multi-scale optimized clustering, where a novel clustering technique is shown with an aid of single and multi-level clustering approximation method. The technique also introduces a concept of RF Transceiver that can solve the energy problems in data aggregation for large scale WSN. The result acquired from the study exhibits to better performance with respect to energy conservation on higher number of simulation rounds till date in comparison to existing techniques.
Vorheriger Artikel An Enhanced Steiner Hierarchy (E-SH) Protocol to Mitigate the Bottleneck in Wireless Sensor Networks (WSN)
Nächster Artikel Outage Probability Analysis and Optimization of Cognitive Full-Duplex Relay Networks

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Metadaten
Titel
MSoC: Multi-scale Optimized Clustering for Energy Preservation in Wireless Sensor Network
verfasst von
A. P. Jyothi
S. Usha
Publikationsdatum
12.02.2019
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 4/2019
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-06146-y

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