The Study Of Network Node Localization Based On Improved Genetic Algorithm

With the rapid development of computer network technology now,people's production and life style have also changed dramatically day by day.Wireless sensor networks are also gradually applied to more and more fields.In the actual application process,the nodes in the wireless sensor network form a multi hop self-organizing network through mutual information communication,and cooperate with each other in the network coverage area to perceive,collect and process the received information,but the physical location of these nodes themselves is random and unknown,so it is fast and effective.The localization of wireless sensor networks has become the primary problem of WSN application.This paper first expounds the research value and significance of node localization in wireless sensor networks,and briefly introduces the current development of wireless sensor networks and the research status of node location technology at home and abroad,and then introduces the existing node location technology and location algorithm of wireless sensor networks,and introduces the location calculation simply.After introducing the concept of genetic algorithm and introducing the genetic algorithm to show its superiority over the node location calculation of the common algorithm in wireless sensor network,this paper introduces the node location technology of wireless sensor network based on Genetic Algoritm in detail,and does every step in this paper.In detail,the genetic probability is changed according to the fitness of the individual,and the monotonic gene bit detection step is added to the traditional genetic algorithm to improve the efficiency of the node location of the wireless sensor network.In this paper,the final simulation of wireless sensor network node location based on improved genetic algorithm is simulated,and a variety of location algorithms are selected for comparison and analysis.The analysis results show that the improved genetic algorithm effectively reduces the location error and greatly improves the positioning accuracy,which is an excellent location algorithm.