Intelligent Single Particle Optimizer Based Wireless Sensor Networks Adaptive Coverage

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Executive Summary

This paper studies wireless sensor networks node deployment problem and proposes intelligent single particle optimizer based wireless sensor networks adaptive coverage. According to the probability model measure characteristic of wireless sensor nodes, the method adaptively determines the optimal deployment of sensor nodes using intelligent single particle optimizer, achieving sensor node based adaptive deployment. Simulation results show that the method has better coverage results and coverage than particle swarm optimization, shuffled frog leaping algorithm, ant colony optimization, and chaotic particle swarm optimization.

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