Accuracy characterization for metropolitan-scale Wi-Fi localization
Proceedings of the 3rd international conference on Mobile systems, applications, and services
Self-management in chaotic wireless deployments
Proceedings of the 11th annual international conference on Mobile computing and networking
Distributed and energy-efficient target localization and tracking in wireless sensor networks
Computer Communications
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
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WiFi-based location based services (LBSs) are expected to be more and more pervasive in future Internet. In WiFi networks, a virtual network database (VNDB), which maintains the estimated locations of access points (APs), should be constructed for the localization. Since the quality of the LBS is mainly determined by the location accuracy, it is essential to maintain accurate VNDBs for the LBS. In this paper, we propose two novel filtering methods to construct accurate VNDBs for the WiFi-based localization: RSS filtering and grid-based filtering. Experimental results on a real testbed show that the proposed methods construct a VNDB accurately and localization results with the accurate VNDB are comparable to those with a real network database (RNDB).