Substation WSN Coverage Optimization Technology Based on Improved Dragonfly Algorithm

The reliability of substation equipment is the foundation for the safe operation of the power grid. Wireless sensor networks play a crucial role in the perception, transmission, and processing of operational data, providing important support for the maintenance and operation control of power grid equipment. To figure out the coverage problem of wireless sensor networks in substation scenarios, an improved dragonfly algorithm based on chaotic mapping and Cauchy mutation (CCDA) is proposed in this article. The initial velocity of the population is generated by the algorithm using two-dimensional logical chaotic mapping to guarantee population diversity. With a probability decreasing as the number of iterations increases, Cauchy mutation is applied to the current iteration's best individual to escape local optima, enhance the ability to explore the overall situation and improve solution accuracy. The simulation results show that, compared with dragonfly algorithm, sparrowsearch algorithm and random deployment algorithm, the proposed algorithm can effectively improve the network coverage performance under the premise of high convergence speed and strong global search ability.