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机会移动传感器网络中的自适应数据收集机制 被引量：14

Adaptive data gathering mechanism in opportunistic mobile sensor networks
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摘要 针对多种类型数据具有不同传输质量需求的信息采集应用,提出了一种自适应的数据收集机制。每个节点关联一个持续变化的"转发概率"参数,每个消息关联一个动态调整的"重要因子"参数,这2个参数自适应确定消息在网络中的复制次数,使数据收集机制既能满足数据传输性能的要求,又具有小的网络开销。模拟实验结果验证了该收集机制在传输性能和网络开销之间达到很好折衷。 An adaptive data gathering scheme was proposed for the application which different transmission quality was needed for different kinds of data. In the scheme, every sensor was associated with a forwarding probability parameter; every message was associated with an importance factor parameter. The two parameters determined adaptively the count of replication of a message, while meeting the transmission quality requirement and minimizing the network overhead. Experiment results show that the proposed data gathering scheme can achieve the tradeoff between transmission performance and network overhead.
作者 孙利民 熊永平 马建
机构地区 中国科学院软件研究所信息安全国家重点实验室 中国科学院计算技术研究所 中国科学院研究生院 诺基亚(中国)研究中心
出处 《通信学报》 EI CSCD 北大核心 2008年第11期186-193,共8页 Journal on Communications
基金 国家高技术研究发展计划("863"计划)基金资助项目(2008AA01Z217) 国家自然科学基金资助项目(60673178 604340302008) ~~
关键词 移动传感器网络 数据收集 机会转发 缓存管理 mobile sensor network data gathering opportunistic forwarding buffer management
分类号 TP393 [自动化与计算机技术—计算机应用技术]
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参考文献15

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同被引文献141

  • 1陈贵海,李成法,叶懋,吴杰.EECS:一种无线传感器网络中节能的聚类方案[J].计算机科学与探索,2007,1(2):170-179. 被引量：24
  • 2纪德文,王晓东.传感器网络中的数据管理[J].中国教育网络,2007(2):53-56. 被引量：2
  • 3周四望,林亚平,张建明,欧阳竞成,卢新国.传感器网络中基于环模型的小波数据压缩算法[J].软件学报,2007,18(3):669-680. 被引量：41
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  • 5WANG Yu,WU Hong-yi.DFT-MSN:the delay/fault-tolerant mobile sensor network for pervasive information gathering[C]//Proc of the 25th IEEE International Conference on Computer Communications.2006:1-12.
  • 6JAIN S,DEMMER M,PATRA R,et al.Using redundancy to cope with failures in a delay tolerant network[J].ACM SIGCOMM Computer and Communication Review,2005,35(4):109-120.
  • 7FALL K.A delay-tolerant network architecture for challenged internets[C]//Proc of Conference on Applications,Technologies,Architectures,and Protocols for Computer Communications.New York:ACM Press,2003:27-34.
  • 8SHAH R C,ROY S,JAIN S,et al.Data mules:modeling and analysis of a three-tier architecture for sparse sensor networks[J].Ad hoc Networks,2003,1(2):215-233.
  • 9VAHDAT A,BECKER D.Epidemic routing for partially connected Ad hoc networks[R].Durham,NC:Department of Computer Science,Duke University,2000.
  • 10SMALL T,HAAS Z J.The shared wireless infostation model:a new Ad hoc networking paradigm[C]//Proc of the 4th ACM International Symposium on Mobile Ad hoc Networking and Computing.New York:ACM Press,2003:233-244.

引证文献14

二级引证文献49

通信学报
2008年 第11期

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