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Minimal coverage set detecting algorithm for barrier coverage in wireless sensor networks

机译:无线传感器网络中障碍物覆盖的最小覆盖集检测算法

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Barrier coverage has attracted much attention in the past few years for its various applications, such as border surveillance and intrusion detection. In these applications, it is critical to achieve a strong barrier to ensure detecting any penetration of intruders in an energy-efficient manner so that the barrier can be covered with as few active sensors as possible. In this paper, we study the target detection problem through collaborative detecting under probabilistic sensing model, and propose a MCSD (minimal coverage set detecting) based on Graph theory, which seeks to achieve a strong barrier with minimal active sensors, prolonging the network lifetime. Finally, comprehensive simulations demonstrate that the proposed strategy improves network lifetime effectively.
机译:在过去的几年中,障碍物的覆盖范围及其边界监视和入侵检测等各种应用引起了人们的广泛关注。在这些应用中,至关重要的是要形成一个坚固的屏障,以确保以节能的方式检测入侵者的任何穿透,以使屏障可以被尽可能少的有源传感器覆盖。在本文中,我们通过概率感知模型下的协同检测研究目标检测问题,并提出一种基于图论的MCSD(最小覆盖集检测)方法,该方法旨在以最少的有源传感器实现强大的屏障,从而延长网络寿命。最后,综合仿真表明,所提出的策略有效地提高了网络寿命。

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