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无线网络链路质量感知的机会网络编码机制

Link-quality-aware Opportunistic Network Coding Mechanism in Wireless Networks

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【作者】 葛青白光伟沈航张芃曹磊

【Author】 GE Qing;BAI Guang-wei;SHEN Hang;ZHANG Peng;CAO Lei;Department of Computer Science and Technology,Nanjing University of Technology;Key Laboratory of Intelligent Perception and System for High-dimensional Information of Ministry of Education of China,Nanjing University of Science and Technology;State Key Laboratory of Novel Software Technology,Nanjing University;

【机构】 南京工业大学计算机科学与技术系南京理工大学高维信息智能感知与系统教育部重点实验室南京大学计算机软件新技术国家重点实验室

【摘要】 现有的无线网络编码机制大多没有考虑无线链路质量对于通信性能的影响,导致网络吞吐量降低。针对这一问题,提出一种链路质量感知的机会网络编码机制(LONC)。该机制充分利用无线媒介的共享特性,将网络编码和机会转发技术相结合,通过期望传输次数来计算数据包传输效用值,用于衡量数据包传输效率。在此基础上,根据效用值动态分配数据包调度优先级,使得高优先级的数据包有更高的概率获得转发机会,从而有利于提高网络吞吐量。仿真结果表明,LONC机制能够显著提高网络的吞吐量,在一定程度上保证了数据的可靠传输。

【Abstract】 Wireless link quality has a significant impact on communication performance,which is currently not taken by most existing wireless network coding mechanisms into account,resulting in degradation of network throughput.To address this problem,this paper proposed a link-quality-aware opportunistic network coding mechanism(LONC)for wireless networks.By taking advantage of broadcast nature of wireless communication,this mechanism combines network coding with opportunistic forwarding techniques.As a metric for measuring transmission efficiency,the expected number of transmissions is used to compute the utility value of data transmission.On this basis,we assigned dynamic priority with each packet to be sent in accordance with their utility value.The objective is to ensure that packets with highpriority have a better chance to be forwarded,thus achieving much higher throughput.Our simulation results demonstrate that LONC can not only achieve performance improvement of network throughput,but also enhance data transmission quality to some certain extent.

【基金】 国家自然科学基金项目(60673185,61073197);江苏省自然科学基金项目(BK2010 548);江苏省科技支撑计划(工业)项目(BE2011186);江苏省普通高校研究生科研创新计划项目(CXLX11_0262,CXZZ12_0425);江苏省六大高峰人才基金资助项目(第八批);南京大学计算机软件新技术国家重点实验室开放课题(KFKT2010B08)资助
  • 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2013年11期
  • 【分类号】TP393.01
  • 【被引频次】4
  • 【下载频次】91
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