The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Tracking a moving object with a binary sensor network
Proceedings of the 1st international conference on Embedded networked sensor systems
Entropy-based sensor selection heuristic for target localization
Proceedings of the 3rd international symposium on Information processing in sensor networks
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
The sensor selection problem for bounded uncertainty sensing models
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Collaborative in-network processing for target tracking
EURASIP Journal on Applied Signal Processing
Acoustic target tracking using tiny wireless sensor devices
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
IEEE Transactions on Wireless Communications
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We consider the problem of tracking a mobile target using an energy constrained wireless sensor network. This paper develops and describes a methodology to track a mobile target that moves with varying speed and direction in a 2D plane. In this paper, we combine distance measurements from several sensors to estimate location of the target. Given that available energy in sensors is at a premium, we have proposed to reduce the number of measurements. We present a methodology to track the target using measurements from an adequate number of carefully selected sensors that measure distance and communicate to the tracker. In this paper, we present results of extensive simulations that we have carried out to test and validate the algorithms. We study through simulations how the frequency of measurements by sensors, velocity of the mobile target, the amount by which the target changes its direction of motion affect the accuracy of tracking.