基于马尔可夫模型的自适应多跳路由协议性能分析

C. Rokitansky
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引用次数: 1

摘要

利用马尔可夫模型分析了车辆接入基础设施网络的自适应多跳路由协议DOR/FRAN和MARION的性能评估结果。在面向方向路由协议(DOR/FRAN)的马尔可夫模型中,隐式的应答和重传被考虑在内。结果表明,马里昂协议的马尔可夫模型随着站的直接邻居数量的增加而变得更加复杂,当直接邻居数量很大时,该模型可以简化。计算发送的数据包到达下一个信标的概率。分组延迟性能评估结果表明,MARION协议优于DOR/FRAN协议,因此可以认为MARION协议更适合具有实时性要求的PROMETHEUS应用,并且是车辆-车辆和车辆-信标集成通信网络网络层合适的自适应多跳路由协议候选协议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance analysis of adaptive multi-hop routing protocols using a Markov model
The results of a performance evaluation by analysis using Markov models of the adaptive multihop routing protocols DOR/FRAN and MARION for access from vehicles to an infrastructure network are presented. In the Markov model for the direction-oriented routing protocol (DOR/FRAN) implicit ACKs and retransmissions are taken into account. It is shown that the Markov model of the MARION protocol, which becomes more complex as the number of direct neighbors of a station increases, can be simplified if a large number of direct neighbors is assumed. The probability that a transmitted packet reaches the next beacon is calculated. The results of performance evaluation of the packet delay show that the MARION protocol is outperformed by the DOR/FRAN protocol, which could therefore be considered to be more suitable for PROMETHEUS applications with real-time requirements, and to be an appropriate adaptive multihop routing protocol candidate for the network layer of an integrated vehicle-vehicle and vehicle-beacon communication network.<>
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