Wireless Sensor Network Coverage Control Strategy Based On Particle Swarm

At present, many cities established the hotspot in information system, but due tothe limitation of the information system, the overall layout is focused on the importantsections and the entrance, the layout is unreasonable, in order to make the wirelesssensor network can meet the target monitoring and information retrieval task,therefore, to establish a rational layout, information management system is imminent.As the wireless sensor network application development in all fields, type areaintegrated monitoring based on wireless sensor network of related technical researchbecome a hot. Because wireless sensor node energy is limited, therefore, how toprolong the life cycle of wireless sensor network become a research priority. Thisarticle is based on actual fixed flat regional comprehensive monitoring applicationbackground,the wireless sensor network coverage optimization strategy. On the basisof analyzing and summarizing the existing research results, an improved chaoticparticle swarm optimization algorithm of wireless sensor network coverageoptimization strategy. Research proves that exist in the traditional particle swarmoptimization (pso) algorithm premature convergence, poor and vulnerable to localsearch shortcoming, therefore, in this paper, on the basis of the standard particleswarm optimization algorithm, an improved Adaptive disturbance chaotic particleswarm optimization algorithm. One is in the range of application of the improvedchaos Tent map initialization of the particles,Improve the quality of the solution of thepopulation and the stability of algorithm; The second is using nonlinear decreasinginertia weight and adaptive learning factor operation; Three is based on a certainprobability of particle position disturbance updates, and the global optimal particlewith chaotic way to fine search, To avoid the problem of particles trapped in localconvergence. Through MATLAB to benchmark test function of the experimentalresults show that the algorithm has better optimization features.Upon completion of the above algorithms, on the basis of based on thealgorithm of wireless sensor network coverage optimization strategy, the Fixed flatsquare areaas the practical application background structures, mathematical model,through the MATLAB simulation experiments verify the feasibility of the algorithm.Experiment research proves that the improved algorithm of Fixed flat square area in wireless sensor network coverage optimization have significant improvement.