Tracking a moving object with a binary sensor network
Proceedings of the 1st international conference on Embedded networked sensor systems
The number of neighbors needed for connectivity of wireless networks
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Proceedings of the 2nd international conference on Mobile systems, applications, and services
A line in the sand: a wireless sensor network for target detection, classification, and tracking
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SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
On target tracking with binary proximity sensors
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Proceedings of the 4th international conference on Embedded networked sensor systems
Tracking multiple targets using binary proximity sensors
Proceedings of the 6th international conference on Information processing in sensor networks
Radio propagation-aware distance estimation based on neighborhood comparison
EWSN'07 Proceedings of the 4th European conference on Wireless sensor networks
Detection, classification, and collaborative tracking of multiple targets using video sensors
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
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Using wireless sensor networks for object tracking requires ordering events with regard to time and location. In labyrinth-shaped topologies, one-dimensional ordering suffices within the different sections of the network. We present an algorithm that decomposes the network into such sections, tracks objects within using binary sensors and, if required, hands them over to the next section. We evaluate our approach through extensive simulations and show that it is robust against sensor failures and packet loss.