Resilient and energy efficient tracking in sensor networks

Authors:
Maria Halkidi;Dimitris Papadopoulos;Vana Kalogeraki;Dimitrios Gunopulos
Affiliations:
Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA.;Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA.;Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA.;Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA
Venue:
International Journal of Wireless and Mobile Computing
Year:
2006

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Abstract

We present a new distributed mechanism for tracking moving objects with a network of sensors. To track such objects efficiently and accurately, we need techniques that allow the cooperation of many sensors, and the real-time exchange of data in the presence of possible failures and within the constraints of the system. Our mechanism provides efficient set-up and cooperation of the sensors within the network, while providing fault tolerant characteristics through replication. We provide an algorithm for predicting, with high probability, the future location of an object based on past observations by many sensors. We empirically evaluate the efficiency and accuracy of our approach.