Localization in Wireless Networks Depending On Map-Supported Path Loss Model: A Case Study On WiMAX Networks

This paper considers the problem of improving localization accuracy in wireless networks by adjusting the path-loss model exponents depending on public road network information. Using the RSS high variations for further positioning accuracy improvement is also considered. First, localization depending on path-loss model is discussed. Second, the road network information is used to improve the accuracy by adjusting the path-loss exponents for better range estimations. The results of the proposed approaches are illustrated and compared on an example whose data were collected from a WiMAX network in a challenging urban area in the Brussels capitol city.