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Hop-based approach for holes and boundary detection in wireless sensor networks

机译:无线传感器网络中基于跳的漏洞和边界检测方法

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摘要

In wireless sensor networks (WSNs), sensors are frequently prone to failure because of their limited batteries lifetime and external spatio-temporal events. Consequently, coverage and communication holes may appear preventing reliable and durable routing pathways. To efficiently deal with the effects of holes and prevent their expansions, it is unavoidable for any solution to detect their boundaries. This issue had been addressed by several works, many of which are based on topological approaches where sensor nodes' connectivity is used. The authors propose a topological approach for the detection of the boundaries of holes. The approach also allows for the detection of the boundaries of the sensor network which is an important concern when sensors are deployed randomly in harsh, remote areas. The approach is based on the identification and the checking of the connectivity of the x-hop neighbours surrounding every node. The results of our simulations conducted on randomly and uniformly deployed WSNs demonstrate high accuracy and reduced requirements in terms of network connectivity degree and communication overhead compared to other existing approaches.
机译:在无线传感器网络(WSN)中,由于电池寿命有限和外部时空事件,传感器经常容易出现故障。因此,可能会出现覆盖和通信漏洞,从而阻止可靠而持久的路由路径。为了有效处理孔的影响并防止孔扩展,任何解决方案都不可避免地要检测孔的边界。此问题已通过多项工作解决,其中许多工作基于使用传感器节点连接性的拓扑方法。作者提出了一种用于检测孔边界的拓扑方法。该方法还允许检测传感器网络的边界,这在将传感器随机部署在恶劣的偏远地区时非常重要。该方法基于围绕每个节点的x跳邻居的标识和检查。与其他现有方法相比,在随机且均匀部署的WSN上进行的仿真结果表明,该方法具有很高的准确性,并降低了对网络连接度和通信开销的要求。

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