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Erschienen in: Wireless Personal Communications 1/2021

17.02.2021

Cluster Head Selection in Heterogeneous Wireless Sensor Network Using a New Evolutionary Algorithm

verfasst von: Sumika Chauhan, Manmohan Singh, Ashwani Kumar Aggarwal

Erschienen in: Wireless Personal Communications | Ausgabe 1/2021

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Abstract

In wireless sensor network (WSN), limited energy resources with the nodes is a complex challenge as far as data routing, collecting and aggregating the data is concerned as all these processes are energy demanding. Network lifetime, stability period, and potential of the WSN are some of the parameters which are to be maximized subject to the constraints. The cluster head selection in the heterogeneous wireless sensor network has not been explored much and needs to be improved further to discover the potential of WSN in this area. In this study, optimal cluster head selection in heterogeneous wireless sensor network through Diversity-Driven Multi-Parent Evolutionary Algorithm with Adaptive Non-Uniform Mutation has been suggested. The efficacy of the proposed technique is tested on Classical Benchmark Functions, and obtained results are compared with the state of the art of algorithms. This algorithm is also validated on a heterogeneous wireless sensor network with cluster head selection as a multi-objective optimization problem. The residual energy of sensor node and distance travelled are to be optimized in order to minimize the fitness function. Simulation suggested that the proposed algorithm is found to be reliable and outperforms in terms of remaining energy of nodes, alive nodes versus round, dead nodes versus rounds, the lifespan of network, throughput, and stability period.

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Metadaten
Titel
Cluster Head Selection in Heterogeneous Wireless Sensor Network Using a New Evolutionary Algorithm
verfasst von
Sumika Chauhan
Manmohan Singh
Ashwani Kumar Aggarwal
Publikationsdatum
17.02.2021
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 1/2021
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-08225-5

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