Introduction to Algorithms
Proceedings of the 10th international conference on Architectural support for programming languages and operating systems
Tracking a moving object with a binary sensor network
Proceedings of the 1st international conference on Embedded networked sensor systems
A line in the sand: a wireless sensor network for target detection, classification, and tracking
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Military communications systems and technologies
Efficient geographic routing in multihop wireless networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
On target tracking with binary proximity sensors
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
CollECT: Collaborative Event deteCtion and Tracking in Wireless Heterogeneous Sensor Networks
ISCC '06 Proceedings of the 11th IEEE Symposium on Computers and Communications
Approaches to Multisensor Data Fusion in Target Tracking: A Survey
IEEE Transactions on Knowledge and Data Engineering
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
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
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In order to track multiple targets in a wireless sensor network, existing work has mostly focused on tracking the trajectories of each individual target that can be identified. However, such algorithms are often ineffective to handle a large number of targets-identifying each of them is too hard due to the fact that the targets usually move together and their locations may also be close to each other. This paper investigates the problem of tracking a group of targets when their motions are correlated. Specifically, we propose a family of algorithms for collaborative tracking with the help of binary proximity sensors. More specifically, our contributions include a fault-tolerant target group detection algorithm, two target group localization algorithms, and dynamic reporter node selection and redeployment control algorithms. Furthermore, we explore the fundamental limit on the accuracy of localizing a target group.