Abstract
IoT sensors are an important part of electronic weapon systems, and they play an important role in modern warfare led by informatization. This paper aims to study the optimization design of the IoT sensor node layout based on improved genetic algorithm. Based on the summary of previous research results on genetic algorithms, this paper proposes a new improved genetic algorithm with global search capabilities and local search capabilities, and applies it to sensor optimal placement and structural damage identification. Some conclusions and suggestions were made. The experimental results of this paper show that the improved genetic algorithm effectively solves the problem of node layout optimization in the IoT sensor network. Compared with the traditional genetic algorithm, the characteristic of the improved genetic algorithm is that the convergence speed is faster, and the network coverage rate increased by 22% after optimization.
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Zhong, T., Lu, J., Jin, X. (2022). Optimal Design of IoT Sensor Node Layout Based on Improved Genetic Algorithm. In: Hung, J.C., Chang, JW., Pei, Y., Wu, WC. (eds) Innovative Computing . Lecture Notes in Electrical Engineering, vol 791. Springer, Singapore. https://doi.org/10.1007/978-981-16-4258-6_123
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DOI: https://doi.org/10.1007/978-981-16-4258-6_123
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