AntProPHET: A new routing protocol for delay tolerant networks

M. Ababou, R. Elkouch, M. Bellafkih, Nabil Ababou
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引用次数: 18

Abstract

Delay Tolerant Network is a network that supports the intermittent connections between nodes. There is either no end to end connection between the source and the destination or the connections are infrequent and very short in terms of delay. The mechanism called store-carry-forward cames to solve this problem, since the nodes are dynamic and facilitate the meeting of the other mobil nodes so they can receive and/or deliver messages to their final destinations. Hence, traditional routing which is based on the principle of end to end is no longer practical for this kind of environment. Different routing protocols have been proposed for DTN environment, such as Epidemic, Spray and Wait and ProPHET. The common objective of these routing protocols is the increasing of the delivery ratio of messages with a minimal overhead. This paper proposes a routing strategy named AntProPHET, which combines probabilistic metric of ProPHET routing protocol and Ant colony optimization algorithm which is inspired by the foraging behavior of Ants and their ability to find the shortest path from a food source and their nest. We use the ONE simulator in order to verify the performance of AntProPHET compared to the ProPHET. Simulation results will show that the proposed AntProPHET approach improves significantly the delivery ratio of messages and reduce the overhead generated. So, our approach AntProPHET is a good applicantion to be used in DTN environments.
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AntProPHET:一种新的延迟容忍网络路由协议
容延迟网络是一种支持节点间间歇连接的网络。在源和目标之间没有端到端连接,或者连接不频繁,并且在延迟方面非常短。由于节点是动态的,并且促进了其他移动节点的会议,因此它们可以接收和/或将消息传递到最终目的地,因此称为存储-forward的机制可以解决这个问题。因此,基于端到端原则的传统路由在这种环境下已经不再适用。针对DTN环境提出了不同的路由协议,如Epidemic、Spray and Wait和ProPHET。这些路由协议的共同目标是以最小的开销增加消息的传递率。本文根据蚂蚁的觅食行为以及蚂蚁从食物源到巢穴寻找最短路径的能力,提出了一种将ProPHET路由协议的概率度量与蚁群优化算法相结合的路由策略AntProPHET。我们使用ONE模拟器来验证AntProPHET与ProPHET的性能。仿真结果表明,提出的AntProPHET方法显著提高了消息的传递率,减少了产生的开销。因此,我们的方法AntProPHET是一个很好的应用程序,在DTN环境中使用。
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