Abstract
To solve the problem of unreasonable random distribution of sensor nodes and low network coverage in sensor networks, a coverage optimization method based on artificial fish swarm algorithm is proposed. Firstly, the current research status of WSN coverage was analyzed, the node coverage and regional coverage in WSN on the basis were analyzed, the corresponding mathematical model was established, the WSN coverage optimization program in view of the artificial fish swarm was obtained. Finally, MATLAB was used for the simulation experiment, and the simulation results showed that the introduction of this method improved the node coverage in WSN effectively, the coverage area was huger at the same amount of nodes. Moreover, the algorithm can get the optimal solution in the global scope, and reach the better network coverage optimization effect with less sensor nodes, and the number of iterations was decreased significantly.
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He, C. (2020). WSN Coverage Optimization Based on Artificial Fish Swarm Algorithm. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2019. Advances in Intelligent Systems and Computing, vol 1117. Springer, Singapore. https://doi.org/10.1007/978-981-15-2568-1_69
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DOI: https://doi.org/10.1007/978-981-15-2568-1_69
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