期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

信息物理系统基于空间相关性的数据传输

Spatial correlation data forwarding scheme for cyber-physical systems
在线阅读 下载PDF
导出
摘要 提出一种基于节点间空间相关性的数据传输策略SCDF,根据空间相关性,各个节点间感知自身到目的节点的距离,并依此来计算传输概率值。节点传输概率即感知节点把消息传递给目的节点的可能性,它是消息传递时选择下一跳的重要依据。仿真模拟实验表明,与现有的直接传递(DD)算法和Epidemic算法相比,SCDF能以较低的数据传输开销和传输延迟获得较高的数据传输率。 This paper proposed a novel data gathering and forwarding scheme named spatial correlation data forwarding（SCDF）.SCDF introduced a small overhead to gain the relative distance from a node to a sink node and then to calculate the node forwarding probability,which gave a guidance to message transmission based on spatial correlation between nodes.Simulation results show that SCDF does not only achieve a relatively low data forwarding energy consumption,but also get the higher message forwarding ratio with lower transmission overhead and data forwarding delay than direct delivery（DD） and Epidemic algorithms.
作者 陈悦 罗俊海
机构地区 乐山职业技术学院 电子科技大学电子工程学院
出处 《计算机应用研究》 CSCD 北大核心 2012年第4期1512-1513,1517,共3页 Application Research of Computers
基金 国家自然科学基金资助项目(61001086) 中央高校基本科研业务费资助项目(ZYGX2011X004)
关键词 信息物理系统 空间相关性 数据传输 物联网 cyber physical systems spatial correlation data forwarding Internet of things
分类号 TP393 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献10

  • 1ZIMMER T C,BHAT B,MUELLER F,et al.Time-based intrusiondetection in cyber-physical systems[C]//Proc of the 1st ACM/IEEEInternational Conference on Cyber-Physical Systems.New York:ACMPress,2010:66-72.
  • 2PAROLINIY L,TOLIAZ N,SINOPOL B,et al.A cyber-physicalsystems approach to energy management in data centers[C]//Proc ofthe 1st ACM/IEEE International Conference on Cyber-Physical Sys-tems.New York:ACM Press,2010:168-177.
  • 3罗俊海,周应宾,邓霄博.物联网网关系统设计[J].电信科学,2011,27(2):105-110. 被引量：32
  • 4BENVENISTE A.Loosely time-triggered architectures for cyber-physi-cal systems[C]//Proc of Conference on Design,Automation and Testin Europe.Leuven,Belgium:European Design and Automation Asso-ciation,2010:3-8.
  • 5许富龙,刘明,龚海刚,陈贵海,李建平,朱金奇.延迟容忍传感器网络基于相对距离的数据传输[J].软件学报,2010,21(3):490-504. 被引量：27
  • 6vipRIN C,BODIK P,THIBAUX R,et al.Distributed regres-sion:an efficient framework for modeling sensor network data[C]//Proc of the 3rd International Symposium on Information Processing inSensor Networks.New York:ACM Press,2004:846-851.
  • 7XU Ying-qi,LEE W C.Exploring spatial correlation for link qualityestimation in wireless sensor networks[C]//Proc of the 4th AnnualIEEE International Conference on Pervasive Computing and Communi-cations.Washington DC:IEEE Computer Society,2006:200-211.
  • 8VURAN M C,AKYILDIZ I F.Spatial correlation based collaborativemedium access control in wireless sensor networks[J].IEEE/ACMTrans on Networking,2006,14(2):316-329.
  • 9潘立强,李建中,骆吉洲.传感器网络中一种基于时-空相关性的缺失值估计算法[J].计算机学报,2010,33(1):1-11. 被引量：46
  • 10VAHDAT A,BECKER D.Epidemic routing for partially connectedAd-hoc networks,Technical Report CS-200006[R].Durham,NC:Duke University,2000.

二级参考文献30

  • 1刘明,龚海刚,毛莺池,陈力军,谢立.高效节能的传感器网络数据收集和聚合协议[J].软件学报,2005,16(12):2106-2116. 被引量：65
  • 2Cullar D, Estrin D, Strvastava M. Overview of sensor networks. IEEE Computer, 2004, 37(8): 41-49.
  • 3Madden S, Franklin M J, Hellerstein J M, Hong W. The design of an acquisitional query processor for sensor networks//Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data. San Diego, California, 2003: 491-502.
  • 4Manihi A, Nath S, Gibbons P B. Tributaries and deltas: Efficient and robust aggregation in sensor network streams// Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data. Baltimore, Maryland, 2005: 287-298.
  • 5Silberstein A, Munagala K, Yang J. Energy-efficient monitoring of extreme values in sensor networks//Proceedings of the 2006 ACM SIGMOD International Conference on Management of Data. Chicago, Illinois, 2006:169-180.
  • 6Considine J, Li F, Kollios G, Byers J. Approximate aggregation techniques for sensor databases//Proceedings of the 20th International Conference on Data Engineering. Boston, MA, 2004:449-460.
  • 7Deshpande A, viprin C, Madden S, Hellerstein J M, Hong W. Model-driven data acquisition in sensor networks// Proceedings of the 30th International Conference on Very Large Data Bases. Toronto, Canada, 2004:588- 599.
  • 8Deshpande A, viprin C, Hong W, Madden S. Exploiting correlated attributes in acquisitional query processing//Proceedings of the 21st International Conference on Data Engineering. Tokyo, Japan, 2005: 143-154.
  • 9Chu D, Deshpand A, Hellerstein J M, Hong W. Approximate data collection in sensor networks using probabilistic models//Proceedings of the 22nd International Conference on Data Engineering. Atlanta, 2006:48.
  • 10Zhu X, Zhang S, Zhang J, Zhang C. Cost-sensitive imputing missing values with ordering//Proceedings of the 22nd AAAI Conference on Artificial Intelligence. Vancouver, Canada, 2007:1922 -1923.

共引文献102

计算机应用研究
2012年 第4期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部