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Token Based Algorithm for Supporting Mutual Exclusion in Opportunistic Networks

机译:基于令牌的机会网络中互斥算法

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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 algorithm1 is the first to support mutual exclusion in opportunistic networks.
机译:机会网络本质上是在节点之间具有瞬时连接的分布式网络。机会网络中的节点是资源受限的,可移动的并且很少互相联系。在这样的分布式网络中,节点可能需要对共享对象或资源的独占访问。由于不频繁的接触和节点故障,在机会网络中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。此外,我们提出了一种新颖的基于令牌的算法,并证明它没有饥饿和死锁,并且满足安全性要求。与用于MANET的现有算法不同,该算法不需要对网络拓扑进行连续监视。仿真结果表明,与针对通用移动自组织网络提出的其他算法相比,我们的算法具有更高的通信效率。我们还提出了一种基于超时的故障检测算法,该算法利用了内部联系时间分布。据作者所知,所提出的算法1是第一个在机会网络中支持互斥的算法。

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