SENSOR NETWORK COVERAGE OPTIMIZATION METHOD BASED ON NOVEL COMPACT PARTICLE SWARM ALGORITHM

The present invention relates to the technical field of intelligent calculation. Disclosed is a sensor network coverage optimization method based on a novel compact particle swarm algorithm. A novel compact particle swarm optimization algorithm is utilized to optimize network coverage of sensors. In the novel compact particle swarm optimization algorithm, the Pareto distribution is used to describe the location of a particle swarm, and a Gaussian perturbation policy is synchronously added. Sensors in a sensor network coverage optimization problem are equivalent to a particle swarm in the optimization algorithm. The sensors are randomly arranged in an initial environment, and then the locations of the sensors are moved and optimized according to the optimization algorithm. The coverage of the sensors after each movement corresponds to a fitness value in the algorithm. The locations of the sensors are determined according to the dimensions of particles and a three-dimensional simulated environment diagram. Fina