Adaptive Target Tracking in Sensor Networks Using Reinforcement Learning
Publish place: 14th annual International CSI Computer Conference
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSICC14_087
تاریخ نمایه سازی: 24 خرداد 1388
Abstract:
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 selftuning 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
Authors
Mohammad Rahimi
Computer Engineering Department, Amirkabir Univerisity of Technology, Tehran, Iran
Reza Safabakhsh
Amirkabir Univerisity of Technology, Tehran, Iran