A Learning Automata Based Area Coverage Algorithm for Wireless Sensor Networks

来源 :Journal of Electronic Science and Technology | 被引量 : 0次 | 上传用户：lionfirst

【摘要】

：

One way to reduce energy consumption in wireless sensor networks is to reduce the number of active nodes in the network.When sensors are redundantly deployed,a

【作者】

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Habib Mostafaei Mohammad Reza Meybodi Mehdi Esnaashari

【机构】

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Islamic Azad Uinversity Urmia Branch,Amir Kabir University of Technology,

【出处】

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Journal of Electronic Science and Technology

【发表日期】

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2010年03期

【关键词】

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Area coverage energy-efficiency learning automata(LA) wireless sensor networks

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One way to reduce energy consumption in wireless sensor networks is to reduce the number of active nodes in the network.When sensors are redundantly deployed,a subset of sensors should be selected to actively monitor the field (referred to as a “cover”),whereas the rest of the sensors should be put to sleep to conserve their batteries.In this paper,a learning automata based algorithm for energy-efficient monitoring in wireless sensor networks (EEMLA) is proposed.Each node in EEMLA algorithm is equipped with a learning automaton which decides for the node to be active or not at any time during the operation of the network.Using feedback received from neighboring nodes,each node gradually learns its proper state during the operation of the network.Experimental results have shown that the proposed monitoring algorithm in comparison to other existing methods such as Tian and LUC can better prolong the network lifetime. One way to reduce energy consumption in wireless sensor networks is to reduce the number of active nodes in the network. Who are redundantly deployed, a subset of sensors should be selected to actively monitor the field (referred to as a “ cover ”), while the rest of the sensors should be put to sleep to conserve their batteries.In this paper, a learning automata based algorithm for energy-efficient monitoring in wireless sensor networks (EEMLA) is proposed. Each node in EEMLA algorithm is equipped with a learning automaton which decides for the node to be active or not at any time during the operation of the network .Using feedback received from neighboring nodes, each node gradually learns its proper state during the operation of the network. shown that the proposed monitoring algorithm in comparison to other existing methods such as Tian and LUC can better prolong the network lifetime.

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A Learning Automata Based Area Coverage Algorithm for Wireless Sensor Networks

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