Energy-Efficient Cluster-Head Selection for Wireless Sensor Networks Using A novel Black Widow meta-heuristic Optimization approach.

Authors

  • M Senthil Vadivu, M.Jamuna Rani, D.Sharmiladevi

Abstract

Wireless Sensor Networks (WSNs) are battery functioned and use sensor nodes (SN) to collect data from the situation and transfer it to a base station. SN use more power for the data transfer process and also affect the life of the network. Energy competence is an important consideration when designing a sensor network. The clustering method is mainly used for energy efficient data communication that ingests little power and also prolongs the life of the network. This article proposes a new Black Widow meta-heuristic optimization method to find the optimal choice of cluster head (CH) in the LEACH-C algorithm. The hybrid procedure improves the activities of "black widows" in global searches and ensures optimal placement of CH s. The efficiency of the proposed system is assessed by the sum of active nodes, residual energy and efficiency. The outcomes show an increase in network life, an upsurge in the amount of worker nodes and a decrease in power consumption. Compared to firefly algorithms, the proposed methodology provides better performance and residual energy.

Published

2020-11-01

Issue

Section

Articles