• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

A many-objective optimization WSN energy balance model

Vol. 14, No. 2, February 29, 2020
10.3837/tiis.2020.02.003, Download Paper (Free):

Abstract

Wireless sensor network (WSN) is a distributed network composed of many sensory nodes. It is precisely due to the clustering unevenness and cluster head election randomness that the energy consumption of WSN is excessive. Therefore, a many-objective optimization WSN energy balance model is proposed for the first time in the clustering stage of LEACH protocol. The four objective is considered that the cluster distance, the sink node distance, the overall energy consumption of the network and the network energy consumption balance to select the cluster head, which to better balance the energy consumption of the WSN network and extend the network lifetime. A many-objective optimization algorithm to optimize the model (LEACH-ABF) is designed, which combines adaptive balanced function strategy with penalty-based boundary selection intersection strategy to optimize the clustering method of LEACH. The experimental results show that LEACH-ABF can balance network energy consumption effectively and extend the network lifetime when compared with other algorithms.


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Cite this article

[IEEE Style]
D. Wu, S. Geng, X. Cai, G. Zhang and F. Xue, "A many-objective optimization WSN energy balance model," KSII Transactions on Internet and Information Systems, vol. 14, no. 2, pp. 514-537, 2020. DOI: 10.3837/tiis.2020.02.003.

[ACM Style]
Di Wu, Shaojin Geng, Xingjuan Cai, Guoyou Zhang, and Fei Xue. 2020. A many-objective optimization WSN energy balance model. KSII Transactions on Internet and Information Systems, 14, 2, (2020), 514-537. DOI: 10.3837/tiis.2020.02.003.