مشاهده مشخصات مقاله
Adaptive Target Tracking in Sensor Networks Using Reinforcement Learning
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نویسنده (ها) |
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Mohammad Rahimi
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Reza Safabakhsh
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
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. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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خرید مقاله
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