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The DTN Routing Algorithm Based on Markov Meeting Time Span Prediction Model

机译:基于马尔可夫会议时间跨度预测模型的DTN路由算法

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摘要

Putting forward an efficient routing algorithm in DTN (delay tolerant network) has become a focus of attention due to the existing phenomena that the connections between nodes in the network change dramatically over time and the communications suffer from frequent disruptions. In this paper, the meeting time span between nodes is predicted using the Markov model, and the relay node holding the shortest meeting time span with the destination node is determined as the most efficient node. In the two phases, spray phase and wait phase, the message is routed according to the utility value. Thus, the routing algorithm based on Markov meeting time span prediction model is provided. Simulation results suggest that this algorithm efficiently improves the delivery rate and reduces the average delay.
机译:由于存在以下现象,网络中节点之间的连接会随着时间的推移而发生巨大变化,并且通信遭受频繁的干扰,因此在DTN(延迟容忍网络)中提出一种有效的路由算法已成为关注的焦点。本文采用马尔可夫模型对节点之间的会面时间进行预测,将与目的节点保持最短会面时间的中继节点确定为最有效的节点。在喷雾阶段和等待阶段这两个阶段中,消息将根据效用值进行路由。因此,提供了基于马尔可夫会议时间跨度预测模型的路由算法。仿真结果表明,该算法有效提高了传输速率,减少了平均延迟。

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