Network connectivity maintenance of WSNs in node failure-prone environment: A detailed survey

T. Pathak, Bhawna, V. Ranga
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Abstract

Network connectivity maintenance in failure prone environment has received more attention in the recent years. Unfortunately due to hostile environment there is need of some other active nodes i.e. backbone nodes which can compensate the failure of the nodes. One of the main design challenges for wireless sensor network (WSNs) is to obtain connecting dominating set (CDS) in polynomial time with low message complexity. However CDS problem is shown to be NP-hard. In a simple graph, a dominating set is a set of vertices such that every other vertex is adjacent to at least one vertex of this set. A dominating set with least number of vertices is called minimum dominating set and a dominating set which form connected graph is called minimum connected dominating set (MCDS). In this paper, we propose the state-of-the-art survey of CDS construction algorithms i.e. distributed and centralized algorithms based on time complexity, message complexity, approximation factor, neighborhood knowledge and quality parameters. The basic challenges, open research issues and research gaps are briefly explored in this paper. Finally, we conclude our work insight for future research direction regarding development of a CDS algorithm with in linear time and low message complexity.
节点易故障环境下wsn网络连通性维护的详细研究
近年来,易发生故障环境下的网络连接维护受到越来越多的关注。不幸的是,由于恶劣的环境,需要一些其他活跃节点,即骨干节点来补偿节点的故障。如何在多项式时间内获得低消息复杂度的连接支配集是无线传感器网络设计的主要挑战之一。然而,CDS问题被证明是np困难的。在一个简单图中,支配集是一个顶点的集合,使得每个其他顶点都与这个集合的至少一个顶点相邻。将顶点数最少的控制集称为最小控制集,将构成连通图的控制集称为最小连通控制集。本文提出了CDS构建算法的研究现状,即基于时间复杂度、消息复杂度、近似因子、邻域知识和质量参数的分布式和集中式算法。本文简要探讨了该领域面临的基本挑战、有待解决的研究问题和研究空白。最后,我们总结了我们对未来研究方向的工作见解,即开发具有线性时间和低消息复杂度的CDS算法。
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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