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مشاهده‌ مشخصات مقاله

Adaptive Target Tracking in Sensor Networks Using Reinforcement Learning

Authors
  • Mohammad Rahimi
  • Reza Safabakhsh
Conference چهاردهمین کنفرانس بین‌المللی سالانه انجمن کامپیوتر ایران
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.
قیمت
  • برای اعضای سایت : 100,000 Rial
  • برای دانشجویان عضو انجمن : 20,000 Rial
  • برای اعضای عادی انجمن : 40,000 Rial

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