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Network coding overhearing management policies based on data packet switching and sorting algorithm

机译:基于数据包切换和分类算法的网络编码曝光管理策略

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Network coding-based overhearing management policies can greatly improve coding ratio and system throughput of coding nodes. The existing strategies, such as FIFO, best effort service, and historical information-based etc, are all based on isolation mechanism of the node information, they do not fully consider the relation among the cached information of nodes, as a result, the node cache information is frequently replaced or deleted by mistake, affecting the coding ratio of coding nodes and the decoding ratio of destination nodes. Therefore, there is a lot of space for improvement. In “X” pattern network topology, network coding overhearing policy based on data packet switching and sorting algorithm is proposed in this article. First, when overhearing buffer is full, meanwhile, the sink codes have listened new packets, codes will drop the new packets but record the IDs of the dropped packets; Second, intermediate codes get the packets information of overhearing buffer by the means of improved Epidemic Algorithm, then sort the packets of coding queue according to the packets information of overhearing cache. Finally, sink nodes delete the packets which have been used for decoding, and add the newly-coming packets in the cache. Theoretical analysis and simulation demonstrate that the improved algorithm gets better coding ratio, higher system throughput and lower delay than the traditional overhearing policies.
机译:基于网络编码的横读管理策略可以大大提高编码节点的编码比和系统吞吐量。诸如FIFO,最佳努力服务和基于历史信息的历史信息等现有策略均基于节点信息的隔离机制,因此它们没有完全考虑节点的缓存信息之间的关系,结果是节点错误地通过错误替换或删除缓存信息,影响编码节点的编码比和目的节点的解码比。因此,有很多改进空间。在“X”模式网络拓扑中,本文提出了基于数据分组交换和分类算法的网络编码识别策略。首先,当曝光缓冲区已满时,同时汇码已收听新数据包,代码将丢弃新数据包,但记录丢弃数据包的ID;其次,中间代码通过改进的疫情算法的方式获取曝光缓冲器的分组信息,然后根据覆盖缓存的分组信息对编码队列的分组进行排序。最后,沉节节点删除已用于解码的数据包,并在缓存中添加新的即将到来的数据包。理论分析和仿真表明,改进的算法获得了更好的编码比,更高的系统吞吐量和比传统的过化策略更低的延迟。

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