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Probabilistic routing algorithm based on transmission capability of nodes in DTN

机译:基于DTN中节点传输能力的概率路由算法

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Delay Tolerant Network (DTN) is a network of intermittent connectivity, and for most of the time there is no end-to-end full path between nodes. This is a huge challenge for the efficient transmission of packets from the source to the destination node. In order to solve this problem, we combine the actually situation of the network, consider the difference of nodes, and propose the concept of node transmission capability. Through a reasonable assessment of node transmission capacity and combined with the traditional probabilistic routing, this paper proposes a probabilistic routing algorithm based on the node transmission capability(PROPHET-TC), which makes the selection of the next hop node more reasonable and efficient, and compensate the deficiency of the traditional probabilistic routing in selecting the next hop node. Simulation results show that compared with Epidemic routing and probabilistic routing, the proposed algorithm can improve the delivery rate and reduce the overhead of the network.
机译:延迟容忍网络(DTN)是间歇连接的网络,并且对于大部分时间,节点之间没有端到端的完整路径。这是从源到目标节点的数据包的高效传输的巨大挑战。为了解决这个问题,我们将实际情况结合起来,考虑节点的差异,并提出节点传输能力的概念。通过合理评估节点传输容量并结合传统的概率路由,本文提出了一种基于节点传输能力(先知-TC)的概率路由算法,这使得下一跳节点的选择更合理和高效,以及在选择下一跳节点时补偿传统概率路由的缺陷。仿真结果表明,与疫情路由和概率路由相比,该算法可以提高运输速率并减少网络的开销。

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