机会网络中支持互斥的Token算法

Sagar A. Tamhane, Mohan J. Kumar
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引用次数: 3

摘要

机会网络本质上是节点间具有瞬时连接的分布式网络。机会主义网络中的节点是资源受限的、移动的,彼此之间很少接触。在这样的分布式网络中,节点可能需要独占访问共享对象或资源。在机会主义网络中,由于不频繁的接触和节点故障,确保免于饥饿是一个具有挑战性的问题。在本文中,我们回顾了针对通用移动自组织网络(manet)提出的互斥算法,并讨论了它们在机会网络中的适用性。在此基础上,提出了一种新的基于令牌的算法,并证明了该算法不存在饥饿和死锁,满足安全特性。与现有的manet算法不同,该算法不需要对网络拓扑进行连续监测。仿真结果表明,与现有的通用移动自组网算法相比,该算法具有较高的通信效率。我们还提出了一种基于超时的故障检测算法,该算法利用了接触时间分布。据作者所知,所提出的算法是第一个支持机会主义网络中互斥的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Token based algorithm for supporting mutual exclusion in opportunistic networks
Opportunistic networks are essentially distributed networks with transient connectivity among nodes. Nodes in opportunistic networks are resource constrained, mobile and infrequently come in contact with each other. In such a distributed network, nodes may require exclusive access to a shared object or resource. Ensuring freedom from starvation is a challenging problem in opportunistic networks due to the infrequent contacts and node failures. In this paper, we review mutual exclusion algorithms proposed for generic mobile ad hoc networks (MANETs) and discuss their applicability to opportunistic networks. Further, we propose a novel token based algorithm and prove it is free from starvation and deadlock, and satisfies the safety property. Unlike existing algorithms for MANETs, the proposed algorithm does not require continuous monitoring of the network topology. Simulation results show that our algorithm is communication efficient as compared to other algorithms proposed for generic mobile ad hoc networks. We also propose a timeout based fault detection algorithm that exploits the inter contact time distributions. To the best knowledge of the authors, the proposed algorithm is the first to support mutual exclusion in opportunistic networks.
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