Research On Indoor Wireless Location Method Based On Improved BBO Algorithm

Wireless sensor network is a kind of network form which is composed of multiple devices that interact with each other by radio.The network can help to determine the location of the target object,and has become an important technology in many research and application fields.The process of determining the specific location of the target in wireless sensor network can be divided into two stages:ranging and location estimation.With the improvement of wireless communication,high-precision wireless positioning technology has become a key research content related to human security and social development.Therefore,this paper focuses on the wireless location optimization algorithm in the process of location estimation.1.The optimization algorithm of biogeography is improved.In this paper,the concept of copy number mutation is introduced into the optimization algorithm of biogeography for the first time.By mutating the "elite features"preserved in the algorithm,the number of sub species in the biological population is significantly increased,and the problem of insufficient search power when the algorithm has many iterations is obviously improved.The effectiveness of the improved strategy is proved by relevant experiments Sex.2.A wireless location algorithm combining coarse location with fine location is proposed.The initial optimization range of wireless location algorithm based on swarm intelligence optimization is generally the whole wireless network,which has many iterations and takes a long time.In order to further improve the accuracy of wireless positioning and reduce the scope of optimization,this paper combines the weighted least square method with the elite feature variation.Firstly,the weighted least square method is used to roughly constrain the scope of the target node,and then the biogeography algorithm which introduces the elite feature variation is used for fine positioning.Finally,the simulation results show that the algorithm can significantly improve the positioning accuracy of the target node.3.In order to verify the effectiveness and practicability of the proposed algorithm in the real environment,a wireless location network based on UWB is built,tested in different scenarios and compared with other related algorithms.