A Node Deployment Optimization Method of Wireless Sensor Network Based on Firefly Algorithm
Wei Liu, Li Pan, Zhiwei Ye, Shuai Yang · 2021
for making the deployment distribution of wireless sensor network nodes more uniform and improve coverage, this paper proposes a node deployment optimization method based on the firefly algorithm. Firstly, a mathematical model is established to randomly deploy wireless sensor network nodes in the target area, and then the node deployment optimization problem is interpreted as a mathematical issue of searching extreme value; Finally, firefly algorithm is used for optimizing the location of wireless sensor network nodes stochastically deployed in the specified place to obtain this maximum coverage and complete the deployment. Experimental simulation results show that compared with genetic algorithm and particle swarm optimization algorithm, firefly algorithm can better avoid sinking into local optimum and avoid premature convergence. Compared with other two algorithm, the firefly algorithm has a faster search speed, better performance, and better stability.