基于DTN历史相遇时间间隔的资源高效路由协议

He Jiaxin, Xu Chunxiu, Wu Yuewei
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引用次数: 7

摘要

容忍延迟网络的特点是网络环境的不断变化和资源的有限性。为了解决这个问题,DTN路由协议的重点是发送多个数据包副本,以增加到达目的地的概率。此外,DTN中的节点具有很强的社会属性,影响网络的性能。然而,在现有的大多数DTN路由协议中,资源效率和社会属性并不是主要考虑的问题。本文提出了一种基于历史相遇时间间隔(RRPHETI)的资源高效路由协议。RRPHETI的目标是在选择中继节点和限制副本时考虑能量和缓冲能力。RRPHETI建立了一个模型来捕捉DTN中的资源消耗行为,并利用最大似然法估计交付概率的参数。特别是,RRPHETI利用历史相遇时间间隔来衡量节点之间的社会关系,因为节点越亲密,相遇时间间隔就越小。最后,为了保证报文到达目的节点方向的一致性,RRPHETI将节点的效用值作为报文转发的准则。仿真结果表明,在资源受限的网络环境下,与其他协议相比,RRPHETI以最小的能耗实现了更高的传输率、更好的开销率和平均时延。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Resource-efficient routing protocol based on historical encounter time interval in DTN
Delay Tolerant Networks (DTNs) are characterized by the continuously varied network environment and the limitation of resource. To conquer this problem, DTN routing protocols focus on sending multiple copies of data packets to increase the probability of reaching the destination. In addition, nodes in DTN have strong social attributes which affect the performance of networks. However, resource efficiency and social attributes are not the main concern in most of existing DTN routing protocols. In this paper, we present the resource-efficient routing protocol based on historical encounter time interval (RRPHETI). RRPHETI aims at considering the energy and buffer capability when selecting relay nodes and limiting replicas. RRPHETI creates a model to capture the resource consumption behaviors in DTN, and utilizes the maximum likelihood method to estimate the parameters of delivery probability. In particular, RRPHETI exploits historical encounter time interval to measure social relations between nodes, as the more intimate the nodes are, the smaller the encounter time interval becomes. At last, RRPHETI formulates the utility value of a node as a criterion for packet forwarding so as to keep the consistency of direction of packet towards the destination node. The simulation results show that RRPHETI achieves higher delivery ratio and better overhead ratio and average delay with minimal energy consumption compared to other protocols within resource constrained network situations.
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