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

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A Correction to this article was published on 04 August 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.

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  • 04 August 2020

    There was a mix-up of Figs. 5-8 in the initial, online publication.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology, Tiruchirapalli, Tamilnadu, 620015, India

    A. Kavitha & R. Leela Velusamy

  2. Department of Computer Science and Engineering, Indian Institute of Information Technology Kottayam, Kottayam, Kerala, 686635, India

    Koppala Guravaiah

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  1. A. Kavitha
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  2. Koppala Guravaiah
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  3. R. Leela Velusamy
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Correspondence to A. Kavitha.

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The original version of this article has been revised: The mix-up of Figs. 5–8 has been corrected.

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Kavitha, A., Guravaiah, K. & Velusamy, R.L. CS-CGMP: Clustering Scheme Using Canada Geese Migration Principle for Routing in Wireless Sensor Networks. Wireless Pers Commun 115, 1363–1384 (2020). https://doi.org/10.1007/s11277-020-07632-4

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