Fault tolerance performance of self-stabilizing independent set algorithms on a covering-based problem: The case of link monitoring in WSNs

Yasin Yigit, C. Ileri, O. Dagdeviren
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引用次数: 5

Abstract

Vertex cover (VC) is one of the most fundamental graph-theoretical problems and has been widely used in wireless sensor networks (WSNs), particularly for the link monitoring problem. It is well known that a solution to the independent set problem (IS), which is another fundamental graph-theoretical problem, is complement of a VC. Self- stabilization is an important concept for designing fault tolerance systems. There have been many self-stabilizing VC and IS algorithms in the field. Even though a self-stabilizing IS algorithm can provide VC solutions, it does not give a theoretical guarantee on approximation ratio. In this work, we focus on practical fault tolerance performance of self- stabilizing IS algorithms in case of a vertex cover problem, particularly link monitoring in WSNs. We implement all existing self-stabilizing VC and IS algorithms and make simulations assuming a WSN in which nodes run synchronously. Results show that self-stabilizing IS algorithms in general are able to find better covers than VC algorithms, as they provide roughly 15% smaller solution sets. Furthermore, IS algorithms that run under distributed scheduler converges to a desired configuration in considerably less number of rounds than VC algorithms.
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基于覆盖问题的自稳定独立集算法容错性能研究——以无线传感器网络中的链路监控为例
顶点覆盖(Vertex cover, VC)是最基本的图论问题之一,在无线传感器网络(WSNs)中得到了广泛的应用,特别是在链路监控问题中。独立集问题是图论的另一个基本问题,众所周知,它的解是VC的补。自稳定是容错系统设计中的一个重要概念。在该领域已经出现了许多自稳定的VC和IS算法。自稳定IS算法虽然可以提供VC解,但不能给出近似比的理论保证。在这项工作中,我们重点研究了自稳定IS算法在顶点覆盖问题下的实际容错性能,特别是wsn中的链路监控。我们实现了所有现有的自稳定VC和IS算法,并假设一个节点同步运行的WSN进行了仿真。结果表明,自稳定IS算法通常比VC算法能够找到更好的覆盖,因为它们提供的解集大约小15%。此外,在分布式调度程序下运行的IS算法比VC算法在更少的轮数下收敛到所需的配置。
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