A concentric clustering architecture with particle swarm optimization algorithm in a wireless sensor network

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Abstract

The lifetime of wireless sensor networks (WSNs) is limited because the sensor nodes must rely on battery power, which is a limited resource. In this paper, we improve a Clustering Algorithm based on Social Insect Colonies (CASIC) to extend the lifetime of a WSN. We propose the CASIC with Particle Swarm Optimization (CASIC-PSO) scheme, which uses a Particle Swarm Optimization (PSO) algorithm to select a cluster head that can prevent the selection of inappropriate nodes and balance the node energy consumption. Simulation results show that our scheme effectively reduces energy consumption and extends the lifetime of WSNs.

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APA

Chen, Y. L., Wang, N. C., Chen, M. Y., Huang, Y. F., & Shih, Y. N. (2014). A concentric clustering architecture with particle swarm optimization algorithm in a wireless sensor network. In Sensors and Materials (Vol. 26, pp. 325–332). M Y U Scientific Publishing Division. https://doi.org/10.18494/sam.2014.992

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