Research On Indoor Location Technology Based On Wireless Sensor Network

With the rapid development of Internet of things,the application of location based services is increasing.Outdoor positioning has a very mature satellite positioning technology.There are more and more applications in indoor positioning,such as the rapid positioning of goods in the logistics storage,the location of the personnel in the parking space management of the mine,the rapid positioning of the hospital personnel and instruments,and so on.Wireless indoor positioning technology based on signal receiving intensity indicator(RSSI)is widely used in indoor positioning with its advantages of low cost,low power consumption and low hardware requirements.However,the large positioning error has been an important reason limiting the development of the technology.In this paper,the location technology based on RSSI ranging is studied.The purpose of this paper is to improve indoor positioning accuracy.Generally speaking,the received signal strength positioning has the advantages of low power consumption,low cost and flexible networking,but the signal is vulnerable to complex indoor environment.In this paper,CC2530 is used to build software and hardware platform to test different scenarios of wireless sensor network,and analyze the impact of different scenarios on radio frequency signal.The error correction of RSSI value using LQI weight is studied in order to reduce the distance error,and the actual measurement value is studied and analyzed by using the built hardware platform.Based on location algorithm,the selection method of a reliable anchor node and three edge location algorithm are studied.The shortcomings of the three edge positioning algorithm in the indoor location algorithm are analyzed.The selection method of the reliable anchor node and the improved three edge location algorithm are fused,and the location algorithm based on distance measurement is studied.And the CC2530 module is used to build the indoor positioning system for the whole test.This paper studies the comparison of the estimated coordinates obtained by the three edge positioning algorithm of the LQI weight to the ranging error correction combined with the optimization.The experiment proves that the improved distance measurement and positioning algorithm can obtain higher positioning accuracy.In mobile wireless sensor networks,in addition to the errors in fixed point positioning,there are also deviations caused by different sampling points during the movement of mobile nodes.In this paper,the distance between the unknown node and the anchor node is constantly changing,and the speed parameter is introduced to modify the distance between the anchor node and the unknown node.And the validity of the algorithm is verified by experiments.