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Mathematical Modeling and Analysis Methodology for Opportunistic Routing in Wireless Multihop Networks

机译:无线多彩网机遇态路由的数学建模与分析方法

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摘要

Modeling the forwarding feature and analyzing the performance theoretically for opportunistic routing in wireless multihop network are of great challenge. To address this issue, a generalized geometric distribution (GGD) is firstly proposed. Based on the GGD, the forwarding probability between any two forwarding candidates could be calculated and it can be proved that the successful delivery rate after several transmissions of forwarding candidates is irrelevant to the priority rule. Then, a discrete-time queuing model is proposed to analyze mean end-to-end delay (MED) of a regular opportunistic routing with the knowledge of the forwarding probability. By deriving the steady-state joint generating function of the queue length distribution, MED for directly connected networks and some special cases of nondirectly connected networks could be ultimately determined. Besides, an approximation approach is proposed to assess MED for the general cases in the nondirectly connected networks. By comparing with a large number of simulation results, the rationality of the analysis is validated. Both the analysis and simulation results show that MED varies with the number of forwarding candidates, especially when it comes to connected networks; MED increases more rapidly than that in nondirectly connected networks with the increase of the number of forwarding candidates.
机译:理论上为无线多彩网网络理论上为机遇路由进行建模和分析性能的挑战。为了解决这个问题,首先提出了广泛的几何分布(GGD)。基于GGD,可以计算任何两个转发候选人之间的转发概率,可以证明在转发候选人几次传输后成功的交货率与优先级规则无关。然后,提出了一种离散时间排队模型来分析具有转发概率的知识的常规机会路由的平均端到端延迟(MED)。通过导出队列长度分布的稳态关节产生函数,可以最终确定用于直接连接的网络的MED和一些明显连接的网络的特殊情况。此外,提出了一种近似方法来评估MED,用于在非向连接的网络中的一般情况。通过与大量模拟结果进行比较,验证了分析的合理性。分析和仿真结果表明,MED随着转发候选者的数量而变化,特别是在连接网络时;随着转发候选人数的增加,MED比在非向连接网络中的增加速度更快。

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