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作者机构:Henan Univ Sch Software Kaifeng 475004 Peoples R China Tongji Univ Coll Elect & Informat Engn Shanghai 201804 Peoples R China Henan Univ Inst Intelligent Network Syst Kaifeng 475004 Peoples R China Henan Univ Modern Network Technol Demonstrat Ctr Kaifeng 475004 Peoples R China
出 版 物:《IEEE ACCESS》 (IEEE Access)
年 卷 期:2018年第6卷
页 面:14130-14140页
核心收录:
基 金:National Natural Science Foundation of China [U1304615] Science and Technique Development Program of Henan [182102210232, 182102311066, 172102210188, 172102210186] Science and Technology Research Key Project of Henan Education Department [17B520004, 15A520051]
主 题:Delay tolerant networks opportunistic routing network coding recovery mechanism
摘 要:Network coding opportunistic routing (NCOR) offers a promising solution for efficient data transmission in delay tolerant networks. Due to the multi-copy strategy and network coding nature, NCOR inevitably brings about a large number of heterogeneous copies, leading to over-consumption of limited network resources. To alleviate this situation, it is imperative to study how to reduce redundant copies in the network. In this paper, we propose a pre-decoding recovery mechanism (PDRM) that removes residual copies after the destination node obtains the original packet information. The PDRM consists of three operations: generating pre-decoding elements, maintaining immune-lists, and deleting redundant copies. In particular, the destination node generates a pre-decoding element, and then, sends it to other nodes in the network via an immune-list to help remove the residual copies. Here, the pre-decoding element is an acknowledgement indicating that the destination node has the necessary information to decode the corresponding original packet. As the core of the PDRM, the first operation enables the destination node to generate a pre-decoding element for each innovative packet without waiting for decoding the generation. Simulation results demonstrate that the PDRM achieves excellent results in improving network performance, and outperforms the existing recovery mechanism.