Flow-Based Transmission Scheduling in Delay Tolerant Networks with bandwidth constraint

Zhen-Guo Yang, Liusheng Huang, Mingjun Xiao, Wang-gui Liu
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Abstract

Routing is one of the most challenging problems in Delay-Tolerant Networks (DTNs) due to network partitioning and intermittent connectivity. Most existing protocols are based on unlimited bandwidth. Previous protocols based on limited bandwidth (MaxProp, RAPID, etc) only consider the scenario that each node has at most one contact opportunity during any time interval, and discuss the packet scheduling mechanisms for each separate contact to minimize the average delivery delay. However, in many applications of DTNs, more than one contact opportunities with the same source node, which are called as related contact opportunities, may arise in the same time interval. But previous scheduling algorithms cannot apply to such applications. Therefore, we propose a more general scheduling algorithm to optimize the delivery delay in bandwidth limited DTNs including the scenario that multiple related contact opportunities may arise in the same interval, called Flow-Based Transmission Scheduling (FBTS). We evaluate it on publicly available data sets against MED, MaxProp and RAPID. The results show that the delivery delay of FBTS is at least 35% shorter than that of existing works.
带宽约束下容延迟网络中基于流的传输调度
路由是容忍延迟网络中最具挑战性的问题之一,因为网络分区和间歇性连接。大多数现有协议都是基于无限带宽的。以往基于有限带宽的协议(MaxProp、RAPID等)只考虑每个节点在任意时间间隔内最多有一个接触机会的情况,并讨论每个单独接触的分组调度机制,以最小化平均发送延迟。然而,在许多ddn应用中,在同一时间间隔内可能会出现多个具有相同源节点的接触机会,这些接触机会称为相关接触机会。但是以前的调度算法不能适用于这样的应用。因此,我们提出了一种更通用的调度算法,以优化带宽有限的dtn中的传输延迟,包括在同一间隔可能出现多个相关接触机会的场景,称为基于流的传输调度(FBTS)。我们对MED、MaxProp和RAPID的公开可用数据集进行了评估。结果表明:与现有工程相比,FBTS的交付延迟至少缩短了35%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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