Wireless information networks
Optimizing Clinical Processes with Position-Sensing
IT Professional
Risks of using AP locations discovered through war driving
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Indoor geolocation science and technology
IEEE Communications Magazine
Propagation measurements and models for wireless communications channels
IEEE Communications Magazine
I am the antenna: accurate outdoor AP location using smartphones
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
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A number of techniques for indoor and outdoor WiFi localization using received signal strength (RSS) signatures have been published. Little work has been performed to characterize the RSS signatures used by these WiFi localization techniques or to assess the accuracy of current channel models to represent the signatures. Without accurate characterization and models of the signatures, a large amount of empirical data is needed to evaluate the performance of the WiFi localization techniques. The goal of this paper is to characterize the RSS signatures and present a novel wall breakpoint model for use in WiFi localization simulations to eliminate the need for large empirical databases. In this paper, we present our empirical database of RSS signatures measured in the campus of the Worcester Polytechnic Institute, characterize the RSS signatures used in WiFi localization, evaluate the performance of the current WiFi channel model, and propose a novel wall breakpoint model, which exploits site-specific information to provide a tighter fit to the empirical RSS signatures. From the RSS signature characterization, it was observed that the behavior of the RSS signatures is dependant on the location of the Access Point (AP) with a building due to shadow fading. Our proposed model improves upon the simpler WiFi channel model by adding a dynamic site-specific wall breakpoint to account for the location of the AP within a building and allowing for proper simulation of the outdoor path-loss environment.