Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
On Localized Prediction for Power Efficient Object Tracking in Sensor Networks
ICDCSW '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Power conservation and quality of surveillance in target tracking sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Achieving Real-Time Target Tracking UsingWireless Sensor Networks
RTAS '06 Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium
Distributed and energy-efficient target localization and tracking in wireless sensor networks
Computer Communications
The Journal of Supercomputing
Two-level cooperative and energy-efficient tracking algorithm in wireless sensor networks
Concurrency and Computation: Practice & Experience - Advances in High-Performance Computing and Communications (HPCC 2008)
DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks
IEEE Transactions on Wireless Communications
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Target tracking is a killer application in wireless sensor networks (WSNs). Energy efficiency is one of the most important design goals for target tracking. In this paper, we propose a herd-based target tracking protocol (HTTP) with the notions of node state transition and herd-based node group for target tracking. A sensor node has three states, namely, sleeping state, sensing state, and tracking state. Each sensor node is associated with a weight to be used to make a state transition among the three states. When a target moves into a monitoring area, a cluster node is selected as the herd head that is responsible for reporting the target information to the sink in the network. The sensor node can adjust the frequency of data reporting according to the velocity of the target. Simulation results show that HTTP not only improves the energy efficiency, but also enhances the tracking accuracy.