DTN中基于泛模板运算的运动模式发现机制
doi: 10.3724/SP.J.1146.2007.01454
General Template-Operation Based Mobility Model Discovery Mechanism in DTN
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摘要: DTN(Delay-Tolerant Network) 用于描述Ad hoc等无线网络中频繁发生长时间网络分割情形。DTN不假设端到端路径一定存在，因此其主要关注点是如何提高成功投递率，而不是延时等QoS参数。运动模式，例如聚类性等对DTN很重要；本文关注于一种宏观的节点运动模式，并提出一个发现和使用运动模式的框架TOM2D(Template-Operation based Mobility Model Discovery)。其基本思想是：节点利用路由信息交互机制维护一个包含所有节点(或相关节点)三维链路容量矩阵，利用图像处理中的模板运算机制从中提取出可能的运动模式，最后用一个通用的数据结构存储这些信息并用于路由决策过程中。由于TOM2D并不依赖于特定的路由协议，本文最后给出了一个基于OLSR和DSDV的例子，仿真结果显示TOM2D确实为路由决策给出了有价值的信息，提高了路由成功率。Abstract: DTN(Delay-Tolerant Network) describes the situation in which longtime partition often happens. DTN doesnt assume the existence of End-to-End path, so it focuses on successful delivery ratio of packets. Nodes mobility model such as group, is an attractive field in DTN research; this paper concentrates on Macro-Mobility and presents a framework to detect and use mobility models? TOM2D(Template-Operation based Mobility Model Discovery). The main idea is: each node maintains a 3D matrix which contains the capacities of links through routing information exchange, then detects the mobility models from the matrix by template-operations, and stores them in a universal data structure at last. This paper gives an example of using TOM2D in OLSR and DSDV, and the results of simulation show that TOM2D performs well.
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