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Modeling multi-hop CSMA-based networks through Semi-Markov chains

机译:通过半马尔可夫链对基于CSMA的多跳网络进行建模

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In this paper we address multi-hop Carrier Sense Multiple Access (CSMA)-based networks and we propose a novel approach based on a semi-Markov chain analysis, decoupling node and network levels. We model node states through a Semi-Markov Process and, on the other hand, we define a finite state transition diagram to describe the network states. The latter is used to derive the parameters included in the Semi-Markov Chain that depend on the network status, as for example, the probability of finding the channel busy. In particular, we consider a multi-hop wireless network, where nodes are deployed over a straight line. Each node sends its data to the next node in the line, to reach the destination located at the end. Nodes use a CSMA-based protocol, where priority in the access to the channel is given to nodes closer to the destination. We mathematically derive the network performance, in terms of throughput and energy consumption. The model is validated through comparison with simulations.
机译:在本文中,我们解决了基于多跳载波侦听多路访问(CSMA)的网络,并提出了一种基于半马尔可夫链分析,节点和网络级解耦的新颖方法。我们通过半马尔可夫过程对节点状态进行建模,另一方面,我们定义了一个有限状态转移图来描述网络状态。后者用于推导包含在半马尔可夫链中的参数,这些参数取决于网络状态,例如,发现信道繁忙的概率。特别地,我们考虑一个多跳无线网络,其中节点部署在一条直线上。每个节点将其数据发送到该行中的下一个节点,以到达位于末尾的目标。节点使用基于CSMA的协议,其中将访问通道的优先级分配给距离目标较近的节点。我们从吞吐量和能耗方面数学上推导网络性能。通过与仿真比较来验证该模型。

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