Research And Implement On Localization Algorithm In Wireless Sensor Network Based On RSSI Ranging-error Compensation

Wireless Sensor Network(WSN) using the embedded technology, sensortechnology, wireless communication technology, micro-electromechanial systems anddistributed information processing technology, etc, it can realize wirelesscommunication does not need complex infrastructure. It can collect and percept theinformation of various enviromental or monitoring object by mocro sensorcollaboration. Transfer information with multiple hops relaying through the embeddedsystem. WSN was widely used in target tracking, environmental monitoring, medicalfield, survey of oil pipeline leak and military application, etc.Node localization has a very important role in WSN. Node localization is thebasis of the target tracking, predictable routes for target trajectory and the monitor ofthe target action route, etc. It can be used in the management of network topology andthe nodes’ location routing protocol. Design localization algorithm has become animportant research direction. In this paper, the research content as follows:1． According to the basic principle, classification and typical localizationalgorithm of wireless sensor network localization, On the basis of analyzing thewireless signal attenuation model, the RSSI ranging error is studied. In view of theranging error, improve the ranging error compensation method. Selective analysisseveral common compensation methods, including weighted average correctionalgorithm and gaussian processing algorithm, etc, analyzing the positioning principleand process of these algorithm, in view of the ranging error caused by the obstruction,developed into a comprehensive improvement based on the existing compensationmethods. Realize the trade-off between positioning performance and the precision ofalgorithm. Respectively take simulated analysis in gauss processing, averageprocessing and comprehensive improvement. Verify the stability and superiority of the comprehensive advanced RSSI localization algorithm. In addition, analyze theimproved algorithm for comprehensive, using the proxy node relalize locationinformation’s update. Taking two optimization methods of sleeping mechanism andenergy balance.2．Aiming at the shortcomings of the RSSI ranging error itself is larger, putforward the improved DV-Hop localization algorithm, in allusion to distance rangingerror produced by used the jump distance instead of the straight line of the algorithm,propose improved algorithm based on the correction of average hop distance and theanchor node selection. Move on to the simulation using the Matlab from the averagenumber of anchor nodes, network connectivity and the average coverage. Theoreticalanalysis and simulation results show that improved algorithm has better positioningaccuracy than the original algorithm.3．In order to validate the simulation algorithm, set up the hardware platform ofcommunication module for experiment used JN5139, selective analysis the positioningcommands and software process of the communication positioning node based on thesoftware platform. Using Zigbee network to build a mine personnel positioning system,In allusion to characteristic that mobile node and anchor node was in different altitude,this system design a RSSI mean value localization algorithm based on spacecompensated model, lessen the influence on localization accuracy. Then, to analyze themine personnel positioning system from the ground monitor system, downholepositioning system and communication links. Finally，using the Matlab to simulatedthe underworkings on this personnel localization algorithm. The ranging error of thispaper is smaller than RSSI ranging error.