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Distributed area coverage in mobile directional sensor networks

机译:移动定向传感器网络中的分布式区域覆盖

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One of the fundamental problems in wireless sensor networks is providing area coverage to fulfill a certain task. This problem in directional sensor networks is more challenging because of limited sensing angle of directional sensors. This paper addresses the problem of deployment and orientation of a specific number of directional sensor nodes in order to maximize the area coverage. First, we present an optimization model for this problem. Then, we propose a distributed payoff based learning algorithm in which each sensor tries to maximize its own coverage relative to the coverage of its neighbors by relocating toward uncovered positions and selecting an appropriate working direction. Simulation results demonstrate the performance of proposed algorithm.
机译:无线传感器网络中的基本问题之一是提供区域覆盖范围以完成特定任务。由于定向传感器的感测角度有限,定向传感器网络中的这个问题更具挑战性。本文针对特定数量的定向传感器节点的部署和定向问题,以最大程度地扩大区域覆盖范围。首先,我们针对这个问题提出了一个优化模型。然后,我们提出了一种基于分布式支付的学习算法,其中,每个传感器都通过朝着未覆盖的位置重新定位并选择合适的工作方向,来尝试相对于其邻居的覆盖范围最大化其自身的覆盖范围。仿真结果证明了该算法的性能。

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