Cooperative recovery of coverage holes in WSNs via disjoint spanning trees

A. Rafiei, M. Abolhasan, D. Franklin, F. Safaei, Stephen Smith, Wei Ni
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引用次数: 1

Abstract

Large scale coverage holes (CHs) resulting from correlated node failures, can significantly degrade quality of service and also jeopardise the integrity of WSNs. In the absence of centralised control, the distributed relocation of deployed nodes becomes a promising solution especially in harsh and hostile environments. In this paper, a distributed method is proposed that enables a network to partially or entirely repair itself through a collection of distributed movements of disjoint spanned trees (DS-Trees) towards the CHs. DS-Trees are spanned based on the nodes distances from the CHs, which are autonomously perceived by the nodes and their one-hop neighbours. DS-Trees around the CHs are spanned in a downstream style outwards from the holes, as nodes select their parents based on the minimum distance to the CH from their neighbours; nodes then decide whether or not to follow the movements of their DS-Trees parents. To examine the efficiency of the proposed model, its performance is compared with two Voronoi-based and one force-based node relocation algorithms. Results show that the proposed DS-Tree model either outperforms or matches the alternative approaches across a wide range of scenarios.
基于不相交生成树的无线传感器网络覆盖洞协同恢复
由于相关节点故障导致的大规模覆盖漏洞(CHs)会严重降低服务质量,也会危及无线传感器网络的完整性。在缺乏集中控制的情况下,部署节点的分布式重新定位成为一种很有前途的解决方案,特别是在恶劣和敌对的环境中。本文提出了一种分布式方法,通过不相交的跨树(DS-Trees)向CHs的分布式运动集合,使网络能够部分或完全修复自身。ds树是基于节点到CHs的距离而生成的,这些节点和它们的单跳邻居可以自主感知到CHs。当节点根据从其邻居到CH的最小距离选择它们的父节点时,围绕CHs的ds树以下游的方式从孔向外跨越;然后节点决定是否跟随其ds - tree父节点的移动。为了检验所提模型的效率,将其性能与两种基于voronoi和一种基于力的节点重新定位算法进行了比较。结果表明,提出的DS-Tree模型在广泛的场景中优于或匹配替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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