Deployment Optimization Strategy Of Wireless Sensor Network Nodes Based On Artificial Intelligence Hybrid Algorithm

In recent years, with increasingly advanced communication technology, wireless sensornetworks has also been a great deal of development, is recognized as the second largest after theInternet network, and has broad application prospects and scientific value. The wireless sensornetwork is composed by a number of nodes having wireless communication capabilities.Thesenodes are densely arranged in the physical area.They constitute a self-organized wirelessnetwork, collaborative real-time monitoring, sensing, collecting the image, temperature,humidity and other information in network coverage area,sending to the user through wireless.Many of the mechanisms involved in the process of collecting sending sensor network coverage,data sensing, data processing, and the most important step is to cover the target area.This dissertation studies the application of swarm intelligence algorithms to WSN nodedeployment strategy, the advantages and aspects to be improved; for randomly deployed uneven,a hybrid optimization algorithm based on artificial fish-swarm particle swarm; for the death ofsome wireless sensor network nodes, proposed artificial fish swarm optimization algorithmbased on virtual force.The main work of this dissertation are as follows:(1)Proposed a mix of artificial fish-swarm particle swarm optimization algorithm, andapplied to the wireless sensor network node deployment strategy optimization.Networkcoverage is the fitness function, node deployment issues into the objective optimizationproblem.Particle swarm behavior to ensure better convergence speed, and fish behavior to solvethe problem of particle swarm behavior brought about by the "premature".Experimental resultsshow that the artificial fish-swarm particle swarm hybrid optimization algorithm effectivelyimprove the convergence speed and network coverage.(2) Proposed artificial fish swarm optimization algorithm based on virtual forcevariation.Taking into account the part of the wireless sensor network node death, using the newalgorithm second deployment to the target area, and effective use of the fixed node locationinformation to speed up the searching speed of the algorithm.Experimental results show that theartificial fish swarm algorithm based on virtual force variation, can optimize the wireless sensornetwork node deployment strategy to enhance the coverage of the network.