Font Size: a A A

Research And Implementation Of Indoor Positioning System For Wireless Sensor Networks

Posted on:2016-07-02Degree:MasterType:Thesis
Country:ChinaCandidate:Y T ZhangFull Text:PDF
GTID:2308330461475388Subject:Architecture and Civil Engineering
Abstract/Summary:PDF Full Text Request
In recent years,with the rapid development of wireless communication technology, wireless sensor network has displayed its various characteristics in many fields, while as its supporting technology, the positioning technology has achieved extensive application as well. Compared with outdoor positioning, indoor positioning due to its narrow space, multiple obstacles, high requirement on positioning accuracy and other characteristics,it mainly uses the wireless sensor network to locate. If indoor positioning inaccurate it may cause positioning results through walls or misjudgment room or other positioning errors. In order to improve the positioning accuracy of wireless sensor network, the paper research results are as follows:(1) Improved least-squares positioning algorithm.The paper puts forward an improved least-squares localization algorithm. Improved algorithm by optimizing the position of the anchor nodes and geometric distribution and the median method to remedy the RSSI value to improve the positioning precision of the traditional least squares localization algorithm.(2) Improve DV-HOP localization algorithm.The paper puts forward an improved DV-HOP localization algorithm. In order to improve the positioning precision of the algorithm,the improved algorithm combine traditional algorithm and genetic algorithm,and redesign of initial population and fitness function. The simulation experiment results show that the improved algorithm effectively improves the location accuracy.(3) Improve the MCL mobile node localization algorithm.A improved algorithm using curve fitting method to estimate the movement trend of mobile node, to determine a new sampling interval. In estimating the node position, the improved algorithm is introduced into weight, use of prediction nodes to determine the weights of distances from the direction, it is concluded that the location of the node. The simulation experiment results show that the improved algorithm effectively improves the location accuracy.(4) WSNs indoor localization system.The establishment of the indoor localization system in wireless sensor network, using VB software design PC interface,it can be monitored area map into the positioning system and intuitive view the indoor positioning in the interface. At the same time, the system design database to storage positioning result and convenient user query historical position record.
Keywords/Search Tags:WSNs, localization algorithm, mobile node localization
PDF Full Text Request
Related items