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Heuristic algorithm for finding maximal breach path in wireless sensor network with omnidirectional sensors

机译:全方位传感器在无线传感器网络中寻找最大违规路径的启发式算法

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Barrier coverage is one of the most crucial issues for quality of service in wireless sensor networks (WSN) and it has been recently emerged as a premier research topic. The barrier coverage can guarantee intrusion detection when mobile objects are entering into the boundary of a sensor field or penetrate into sensor field. There are several penetration paths such as breach, support, exposure and detection. This paper is interested in the maximal breach path, which is specific for a penetrating intruder's safety that corresponds to the worst case coverage. Having known the MBP, network designers could improve the coverage of the networks and maximize the effectiveness of the system. Moreover, MBP provides fundamental background to develop intrusive detection and border surveillance applications. Therefore, in this paper we presents an innovative polynomial time algorithm for computing the MBP for a given sensor network named DBS. The simulation results show that the aforementioned algorithm significantly outperforms an existed one named Megerian's in term of both computational time and consummation.
机译:屏障覆盖是无线传感器网络(WSN)中服务质量最关键的问题之一,近来它已成为首要的研究课题。当移动物体进入传感器区域的边界或穿透传感器区域时,屏障覆盖可以保证入侵检测。有几种渗透途径,例如破坏,支持,暴露和检测。本文关注最大违规路径,该路径专门针对与最坏情况覆盖范围相对应的渗透入侵者的安全。知道了MBP之后,网络设计人员可以改善网络的覆盖范围,并最大程度地提高系统的效率。此外,MBP为开发入侵检测和边界监视应用程序提供了基本背景。因此,在本文中,我们提出了一种创新的多项式时间算法,用于计算给定传感器网络DBS的MBP。仿真结果表明,上述算法在计算时间和完善性上均明显优于现有的Megerian算法。

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