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Robot Repair Algorithm for Automatic Hole Detection and Coverage in Wireless Sensor Networks

机译:无线传感器网络中自动漏洞检测和覆盖的机器人修复算法

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The emerging recent technology of Wireless Sensor Network (WSN) is projected to offer a wide range of real-time applications such as battle field surveillance in military, environmental condition monitoring, security system, smart spaces and so on. In this scenario one of the main problems is coverage area of the network. Many researches are focusing on hole detection and healing in coverage area of WSN. This study also indent to deal with the effort of hole detection and healing in such kind of environments. The proposed approach requires no location information and works even for dense networks. This proposed algorithm is called robot repair algorithm for automatic hole detection and healing. It is a modified method for hole detection and healing that might eliminate the drawbacks of the existing algorithms. There are three phases involved in this method, namely information collection phase where each node exchanges information to build a list of x-hop neighbors, path construction phase where communication links between sensor nodes in the list of x-hop neighbors are identified and finally path checking phase where paths are examined to infer boundary and inner nodes. Unlike the existing algorithms, the proposed method uses the same algorithm for both hole detection and healing which provides better efficiency, high packet delivery ratio, improved network life time, reduced delay and throughput. Hole attacks in WSN environments are also highlighted.
机译:预计无线传感器网络(WSN)的最新技术将提供广泛的实时应用,例如军事领域的战场监视,环境状况监视,安全系统,智能空间等。在这种情况下,主要问题之一是网络的覆盖范围。许多研究都集中在WSN覆盖区域的孔检测和修复上。这项研究还试图应对这种环境下的孔洞探测和修复工作。所提出的方法不需要位置信息,甚至适用于密集网络。该算法被称为自动修复和修复孔的机器人修复算法。这是一种用于孔洞检测和修复的改进方法,可以消除现有算法的缺点。此方法涉及三个阶段,即信息收集阶段(其中每个节点交换信息以构建x-hop邻居列表),路径构建阶段(其中标识x-hop邻居列表中的传感器节点之间的通信链接)以及最终路径检查阶段,其中检查路径以推断边界和内部节点。与现有算法不同,该方法对漏洞检测和修复使用了相同的算法,从而提供了更高的效率,更高的数据包传递率,更长的网络生存时间,更少的延迟和吞吐量。 WSN环境中的漏洞攻击也被重点介绍。

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