مشاهده مشخصات مقاله
Cellular Learning Automata based Scheduling Method for Wireless Sensor Networks
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Authors |
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M. Jahanshahi
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M. R. Meybodi
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M. Dehghan
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Conference |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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Abstract |
In wireless sensor network often micro-battery with
very limited power provides the energy of sensor nodes.
Since sensors are usually utilized in remote or hostile
environments, recharging or replacing the battery of the
sensors is something quite undesirable or even
impossible. Thus long system lifetime is a must. Sleep
scheduling is a mechanism in wireless sensor network to
save energy. In this paper, we propose an energyefficient
distributed scheduling method considering
mobile target tracking also called dynamic target
coverage. The algorithm is based on cellular learning
automata. In this algorithm, each node is equipped with
a learning automaton which will learn (schedule) the
proper on and off times of that node based on the
movement nature of a single moving target. To evaluate
the proposed method it is tested under straight with
constant velocity movement model of target. The results
of experimentations have shown that the proposed
scheduling algorithm outperforms two existing dynamic
target coverage scheduling methods. |
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قیمت |
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برای اعضای سایت : 100,000 Rial
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برای دانشجویان عضو انجمن : 20,000 Rial
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برای اعضای عادی انجمن : 40,000 Rial
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خرید مقاله
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