An Efficient Transmission Method for Bulk Data Based on Network Coding in Delay Tolerant Network

Wancheng Chen, Yuebin Bai, Jiaojiao Liang, Wenjia Liu, Rui Wang, Xiaoyun Mo, Ziming Luo
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引用次数: 5

Abstract

With nodes in Delay Tolerant Network(DTN) distributing sparsely and moving rapidly, they usually suffer from intermittent connections and communications, thus bringing about limited message forwarding opportunities. All these could lead to inefficient forwarding, low delivery, long latency and limited transmission capacity in performance. In this paper, efficient encoding and decision methods are presented and integrated into the DTN routing strategy. The custody-encoding-forwarding mode is designed by merging the random linear network coding into the DTN routing, together with the replica re-allocation and memory management, and built on that encoding scheme, the intra/inter flow adaptive collaborative network coding is elaborated to implement the fresh custody-decision-encoding-forwarding mode. A decision-making strategy based on Bayesian Network(BN) measures the ``degree'' in a specific generation in networks by taking comprehensive consideration of current and historical network conditions to enhance the network robustness and self-adaptivity. By evaluating the delivery, delay and overhead performance on ONE and MATLAB platforms, the effectiveness of proposed strategies is validated in the end.
时延容忍网络中一种基于网络编码的高效批量数据传输方法
容忍延迟网络(Delay tolerance Network, DTN)中节点分布稀疏、移动迅速,往往存在连接和通信断断续续的问题,从而导致消息转发机会有限。这些都可能导致转发效率低、发送速度慢、延迟长、传输能力有限。本文提出了有效的编码和决策方法,并将其集成到DTN路由策略中。将随机线性网络编码融合到DTN路由中,结合副本重分配和内存管理,设计了监护-编码-转发模式,并在此编码方案的基础上,阐述了流内/流间自适应协同网络编码,实现了新的监护-决策-编码-转发模式。基于贝叶斯网络(BN)的决策策略通过综合考虑当前和历史网络条件来衡量网络中特定一代的“程度”,以增强网络的鲁棒性和自适应能力。通过在ONE和MATLAB平台上对交付、延迟和开销性能进行评估,最后验证了所提策略的有效性。
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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