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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 2/2020

16.07.2020

CS-CGMP: Clustering Scheme Using Canada Geese Migration Principle for Routing in Wireless Sensor Networks

verfasst von: A. Kavitha, Koppala Guravaiah, R. Leela Velusamy

Erschienen in: Wireless Personal Communications | Ausgabe 2/2020

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Abstract

Recently, researchers focus on wireless sensor networks (WSNs) as it plays a vital role in numerous applications. Node energy is one of the resource constraints of WSN. Hence, it is significantly important to design an energy efficient routing. In this paper, a Clustering Scheme using Canada Geese Migration Principle (CS-CGMP) has been proposed for routing in WSNs. In this approach, the network field is partitioned into zones and number of Cluster Heads (CHs) are selected based on the density of each zone. CGMP is applied for CH rotation. If residual energy of a CH is below threshold value, it has to be rotated to a member node which has high energy. Further, the optimal number of CHs required is assured in every round. CS-CGMP based approach was simulated and the performance parameters with respect to network lifetime, number of alive nodes, number of packets transferred to the BS and CH were analysed by comparing with LEACH-C, (ACH)\(^2\), and DEEC.
Vorheriger Artikel AVDR: A Framework for Migration Policy to Handle DDoS Attacked VM in Cloud
Nächster Artikel Correction to: CS-CGMP: Clustering Scheme Using Canada Geese Migration Principle for Routing in Wireless Sensor Networks

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Metadaten
Titel
CS-CGMP: Clustering Scheme Using Canada Geese Migration Principle for Routing in Wireless Sensor Networks
verfasst von
A. Kavitha
Koppala Guravaiah
R. Leela Velusamy
Publikationsdatum
16.07.2020
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07632-4

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