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重庆邮电大学 宽带泛在接入技术研究所,重庆 400065
[ "吴大鹏(1979-),男,黑龙江大庆人,重庆邮电大学教授、硕士生导师,主要研究方向为泛在无线网络、无线网络服务质量管理。" ]
[ "楼芃雯(1988-),女,河南南阳人,重庆邮电大学硕士生,主要研究方向为容迟网络、网络编码。" ]
[ "刘乔寿(1979-),男,云南曲靖人,重庆邮电大学副教授,主要研究方向为泛在无线网络。" ]
[ "熊余(1982-),男,四川内江人,重庆邮电大学副研究员,主要研究方向为互联网服务质量控制。" ]
[ "王汝言(1969-),男,湖北浠水人,重庆邮电大学教授、博士生导师,主要研究方向为泛在网络、多媒体信息处理等。" ]
网络出版日期:2015-03,
纸质出版日期:2015-03-25
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吴大鹏, 楼芃雯, 刘乔寿, 等. 带有编码冗余控制的机会网络数据转发机制[J]. 通信学报, 2015,36(3):63-74.
Da-peng WU, Peng-wen LOU, Qiao-shou LIU, et al. Coding redundancy controlled data forwarding mechanism in opportunistic networks[J]. Journal of communications, 2015, 36(3): 63-74.
吴大鹏, 楼芃雯, 刘乔寿, 等. 带有编码冗余控制的机会网络数据转发机制[J]. 通信学报, 2015,36(3):63-74. DOI: 10.11959/j.issn.1000-436x.2015059.
Da-peng WU, Peng-wen LOU, Qiao-shou LIU, et al. Coding redundancy controlled data forwarding mechanism in opportunistic networks[J]. Journal of communications, 2015, 36(3): 63-74. DOI: 10.11959/j.issn.1000-436x.2015059.
网络编码方法能有效提高数据传输效率,但采用该方法的机会网络数据转发机制均未考虑传输中的编码数据迭代冗余副本控制问题。为了充分降低译码复杂度并减少迭代冗余副本,提出了相遇持续时间估计及编码机会感知方法,进而设计了带有传输容量估计的编码冗余控制数据转发机制。节点以分布式的方式感知数据编码机会,为不同扩散程度的数据确定相应的优先级,并根据传输容量估计结果完成转发控制,以充分利用节点间的相遇持续时间。结果表明,所提出机制有效地减少了网络中的冗余副本,使译码所需的数据量趋于理论上的最小值,改善了网络资源利用率。
The network coding can improve network transmission efficiency. But most of the data forwarding mechanism does not consider the iteration redundancy control during data transmission. In order to reduce the complexity of decod-ing and iteration redundancy copies sufficiently in coding nodes limited network
the encounter duration estimating method and coding opportunity-aware method are proposed. Further
a data forwarding mechanism for coding redun-dancy control with communication capacity estimating method is designed. It can make full use of the encounter duration between nodes to forward the data
which has more coding opportunity and less than the community capacity. Further-more
the coding number of nodes is updated and the iteration redundancy in every generation is controlled. Experimental results show that
the mechanism could reduce the iteration redundancy in the network and minimize data amount re-quired by decoding
which tends to the theoretical minimum and improves the utilization of network resources.
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