The Architecture of Internet of Things System Based on BeiDou Satellite System and Wireless Sensor Network

  Based on the research of traditional RSSI localization algorithm for wireless sensor networks, the characteristics of poor positioning accuracy and slow response are analyzed. Combining with the advantages of Beidou positioning system, an algorithm combining traditional wireless sensor positioning and Beidou navigation and positioning is proposed. The Kalman filter is used to fuse the data of the two algorithms, and a new fusion localization algorithm is obtained. Through the simulation analysis, the new fusion algorithm has a corresponding improvement in the positioning accuracy and convergence rate compared with the traditional single wireless sensor network node localization algorithm. The simulation results also show that the algorithm is feasible.