As a kind of self-organizing network with limited energy, wireless sensor network is generally deployed in the area where the environment is bad or the personnel are difficult to reach. The unbalanced energy consumption of nodes will lead to premature network failure, low energy utilization rate of nodes and reduced network coverage rate, which will seriously affect network performance. This paper mainly studies the area coverage optimization of wireless sensor network based on bee colony. In this paper, an artificial bee colony algorithm based on extrapolation is proposed to optimize the network coverage deployment. In order to improve the convergence speed and accuracy of the artificial bee colony algorithm, the extrapolation artificial bee colony algorithm introduces the extrapolation process into the artificial bee colony algorithm and constructs the following bee phase based on the extrapolation process. The simulation results show that the proposed algorithm not only improves the coverage optimization effect, speeds up the convergence speed of the algorithm, but also reduces the travel distance of the nodes, which is suitable for the wireless sensor network optimization with higher requirements for perceptual quality.

Hailiu Xiao, Yanping Wei. Area Coverage Optimization of Wireless Sensor Networks Based on Bee Colony. Distributed Processing System (2021), Vol. 2, Issue 1: 1-8. https://doi.org/10.38007/DPS.2021.020101.

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