Research On Mobile Node Localization Technology In Wireless Sensor Networks

Determining the locations of the events or accessing the node locations of information is one of basic functions.With the deep research of Wireless Sensor Networks(WSNs),its applications are more extensive,however,A fixed network structure has been unable to meet the needs of new applications,the introduction of mobile nodes extend the application areas of WSNs,and bring the challenge of technology. Currently,localization problems about mobile nodes have become one of the most popular research in WSNs.The paper first describes the fundamental principles of the node localization in WSNs,summarizes the ranging technology of self-localization algorithms,the classification method and the evaluation criterion of performance for WSNs,and discusses the current mobile node localization algorithms based on Monte Carlo localization idea.Then,the Monte Carlo algorithm and its improved algorithm are introduced, and the principle, the advantages, the advantages and the application of the algorithm are also described.Then,an improved MCB algorithm is proposed by using the temporary anchor node. The idea of the algorithm is iterative optimization.Then,the unknown node is used as the unknown node,until all nodes are located.And then the improved MCB algorithm and MCL,MCB algorithm for simulation comparison,the improved MCB algorithm to minimize the positioning error.According to the existing algorithm,the MCLS algorithm is proposed,which is based on algorithm,which is based on Lt-1 and 2vm as the center,and the MCL is used as the center,and the MCB is the length of the line segment.Then the MCB algorithm is improved.Finally, compared to the MCL,MCB algorithm,the MCLS algorithm is more accurate,the sampling efficiency is higher,and the sampling time is shorter.