Lightweight jammer localization in wireless networks: system design and implementation
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Localization in wireless sensor networks with known coordinate database
EURASIP Journal on Wireless Communications and Networking - Special issue on signal processing-assisted protocols and algorithms for cooperating objects and wireless sensor networks
Detecting and correcting WiFi positioning errors
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
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Wireless sensor networks monitor phenomena that vary over the spatial region the sensor network covers. The sensor readings may also be dual-used for additional purposes. In this paper we propose to use the inherent spatial variability in physical phenomena to support localization and position verification. We first present the problem of localization using general spatial information fields, and then propose a theory for exploiting this spatial variability for localization. Our Spatio-Correlation Weighting Mechanism (SCWM) uses spatial relationships of measured physical phenomena to determine an appropriate subset of environmental parameters for better locationaccuracy. We next present the Flex-EP algorithm, which supports our theoretical model for performing localization. Finally, we provide an experimental evaluation of our approach by using a collection of physical phenomena measured across one hundred locations inside a building. Our results provide strong evidence of the viability of using general sensor readings for location applications.