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Research On Rssi-based Localization Algorithm In Ieee 802.11 Wireless Networks

Posted on:2011-06-14Degree:MasterType:Thesis
Country:ChinaCandidate:J P WangFull Text:PDF
GTID:2198330338483355Subject:Computer application technology
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With the features of high speed, mobility, flexibility, etc., IEEE 802.11 wireless network which has been widely deployed and applied since it appeared, is becoming an effective extension and replacement of wired LAN. In 802.11 wireless networks, users with lightweight portable computing devices can access network anytime anywhere. As the mobility and flexibility of access node, the node location information needs to be used for effective personnel management, tracking, search and rescue. Therefore, self-localization of nodes in wireless LAN is a hot research issue.Firstly, we analyzed and compared the existing localization algorithm and system in wireless network. Combining IEEE 802.11 standard, we got that the RSSI (Received Signal Strength Indicator)-based localization algorithm in IEEE 802.11 wireless networks have the features of low cost, easy to implement and precision adjustable. Secondly, we modeled the localization problem with Bayesian Probability Theory, studied the distribution of signal strength through experiments, and then proved that the RSSI with fixed distance is normally distributed. Finally, we developed a tool for collecting RSSI and implemented a complete a localization system-RBLS (RSSI-based Localization System) in 802.11 wireless networks. The system establishes a RSSI experience database, calculates the RSSI distribution probability in RSSI experience database and then selected the location with the largest probability as the node's position estimate. In addition, we added the results selecting rules to the system to improve the positioning accuracy.We also deployed RBLS in indoor and building interior. When the number of sampled data and the measured data reaches a certain value, the system's positioning accuracy is higher than RADAR and the probability of the system to locate the node to correct room is greater than 90%.
Keywords/Search Tags:IEEE 802.11 Wireless Networks, RSSI, Localization Algorithm and System
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