Indoor Positioning Research Based On Zigbee Wireless Sensor Network

In recent years, with the rapid development of wireless communicationtechnology, computer network technology and mobile terminal equipment, thedemand for location-based service applications is increasing. The emergence ofwireless sensor network technology provides a viable solution for indoor positioning.Wireless sensor network with flexible networking and low cost provides an effectivesolution for indoor positioning.After studying a great number of references andreferring to relevant design, this article builds a wireless location sensing networkbased on zigbee communication. On this basis,we conduct experimental analysis andthen propose a new type of positioning algorithm for indoor environments, and carriesout simulation analysis and verification.Firstly, taking the institute of electrical and information engineering College hallas indoor background, we set up a wireless sensor positioning platform. The hardwarecomponents of the system module and chip selection of an important module aregiven.Then we design three working nodes (gateway node,reference node, mobilenode) and give software flow chart of them. Based on this platform, through theconfiguration of a reasonable number of nodes and the communication distance,weachieve optimization and improvement of wireless location sensor network. On thebasis of the changed network, this paper has done a lot of field experiments, analyzethe positioning results in the case of different number of reference nodes and differentcommunication distance and whether there exists obstacle.Finally, due to the limited energy of the wireless sensor network and highcomplexity of the traditional algorithm, the paper proposes a positioning algorithmstriking a balance between positioning accuracy and algorithm complexity-based onthe RSSI ranging zoning indoor three-dimensional positioning wireless locationalgorithm.The reference node firstly conduct neighborhood zoning, and then searchthe overlap region.Finally iterative solution is used to gradually improve thepositioning accuracy of the unknown node.Simulation calculation show that thealgorithm can effectively meet the general indoor environment demand and it has acertain theoretical and practical significance.