An Optimization Nodes Layout in Deployment WSN Based on Improved Artificial Bee Colony

Abstract

This study suggests an optimal coverage model aimed at the optimal deployment of Wireless sensor networks (WSN) based on improving the artificial bee colony (ABC) algorithm. The distance between the sensor nodes is regulated reasonably by implementing quasi-gravitation and quasi-coulomb power. Also, with a low regional repetition rate, the ABC algorithm can achieve fast optimization. Besides, to minimize node energy consumption, the sensing radius of WSN nodes is dynamically modified. The simulation results show that the proposed algorithm performs better than the conventional particle swarm (PSO) and quantum-behaved particle swarm optimization (QPSO), ACO schemes in terms of network coverage rate, and convergence speed. Simultaneously, the algorithm has a particular benefit in reducing the energy consumption of nodes in the WSN.