A Learning Automata Based Area Coverage Algorithm for Wireless Sensor Networks

在无线传感器网络减少精力消费的一个方法是在网络减少活跃节点的数字。当传感器冗余地被部署时，传感器的一个子集应该被选择活跃地监视这块地(叫作一个“封面”) ，而传感器的其余部分应该被放睡觉保存他们的电池。在这份报纸，学习自动机基于算法因为在无线传感器网络(EEMLA ) 的精力有效的监视被建议。在 EEMLA 算法的每个节点与决定让节点在网络的操作期间在任何时间活跃的学习自动机被装备。用从附近的节点收到的反馈，每个节点逐渐地在网络的操作期间学习它的合适的状态。试验性的结果证明了与象 Tian 和 LUC 罐头那样的另外的存在方法相比的建议监视算法更好延长网络一生。

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