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Adaptive target tracking in sensor networks using reinforcement learning

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2 Author(s)
Rahimi, M. ; Comput. Eng. Dept., Amirkabir Univerisity of Technol., Tehran, Iran ; Safabakhsh, R.

This paper, proposes the use of a reinforcement learning approach for a target tracking sensor network application. Harsh and unpredictable situations of sensor nodes in such an application requires a self-tuning mechanism for the nodes to adapt their behavior over time. The method is examined under high dynamic network conditions and compared with a similar method called SORA over different performance measures. The results show a significant improvement over the compared method in the environments with high level of dynamism.

Published in:

Computer Conference, 2009. CSICC 2009. 14th International CSI

Date of Conference:

20-21 Oct. 2009