期刊文献+

无线传感器网络中基于层次结构的时间同步算法 被引量:4

Time synchronization algorithm based on hierarchical structure in wireless sensor network
下载PDF
导出
摘要 时间同步作为无线传感器网络的关键技术之一,对整个网络的工作和发展有着至关重要的作用。提出了基于层次结构的传感器网络时钟同步协议(TPSN)改进算法:在层次建立阶段采取等级广播,在同步阶段采取直接双向和间接双向相结合的时间同步方式,获得相对较少的报文开销和系统维护开销;进行了时间频率偏移校正,以保证节点的时间同步精度。仿真实验结果表明,该算法不仅提高了网络的同步精度,也节约了网络的能量消耗,更加满足实际应用的需求。 Time synchronization is one of the key technologies for wireless sensor networks,and it plays an irreplaceable role for the work and development of the entire wireless sensor network.This paper proposed an improved Timing-sync Protocol for Sensor Networks(TPSN) algorithm based on hierarchy.This algorithm took level-broadcast in phase of level establishment,and a combined active and inactive two-way synchronization algorithm was used in phase of time synchronization,obtaining a relatively small cost of packet and system maintenance.This improved algorithm carried out time-frequency offset correction,and ensured the accuracy of the node.The improved TPSN algorithm not only enhances the accuracy of synchronization,but also saves the energy consumption for the network.
作者 陶志勇 胡明
出处 《计算机应用》 CSCD 北大核心 2012年第6期1513-1515,1551,共4页 journal of Computer Applications
基金 辽宁省教育厅科学科研基金资助项目(L2010168)
关键词 无线传感器网络 时间同步 传感器网络时钟同步协议 频率偏移 等级广播 双向同步 Wireless Sensor Network(WSN) time synchronization Timing-sync Protocol for Sensor Networks(TPSN) frequency offset level-broadcast two-way synchronization
  • 相关文献

参考文献10

二级参考文献47

  • 1康冠林,王福豹,段渭军.无线传感器网络时间同步综述[J].计算机测量与控制,2005,13(10):1021-1023. 被引量:36
  • 2封红霞,周莹.无线传感器网络的时间同步算法误差分析[J].仪器仪表标准化与计量,2006(6):30-33. 被引量:5
  • 3Karl H,Willig Andress.无线传感器网络协议与体系结构[M].邱天爽,译.北京:电子工业出版社,2007. 被引量:9
  • 4Filkret Sivrikaya, Bulent Yener Time Synchronization in sensor networks: in survey[J]. IEEE Network, July/August, 2004. 被引量:1
  • 5J Elson, L Girod, D Estrin. Fine - Grained Network Time Synchronization using Reference Broadcasts [ C ]. In : Proceedings of the Fifth Symposium on Operating systems Design and Implementation, Boston, MA. December 2002. 被引量:1
  • 6Saurabh Ganeriwal, Ram Kumar, Mani Srivastava. Timing- Sync protocol for Sensor Networks[ C]. In: ACM SenSys. Los Angeles, CA, 2003. 被引量:1
  • 7Jana van Greunen, Jan Rabaey. Lightweight Time Synchronization for Sensor Networks[ C]. In: The Proceedings of the 2nd ACM International Workshop on Wireless Sensor Networks and Applications. San Diego, CA, September 2003. 被引量:1
  • 8Mihail L Sichitiu, Chanchai Veerarittiphan Simple. Accurate Time Synchronization for Wireless Sensor Networks [ C ]. In: Proceedings of the IEEE Wireless Communications and Networking Conference ( WCNC 2003 ). New Orleans, LA, March 2003. 被引量:1
  • 9Branislav Kusy, Miklos Maroti. Flooding Time Synchronization in Wireless Sensor Networks[ C ]. In : Proceedings of the 2nd International Conference on Embedded Networks Sensor Systems. Atlanta, GA, March, 2004. 被引量:1
  • 10Hui dai, Richard Han. TSync : a lightweight bidrectional time synchronization service for wireless sensor networks [ J ]. In : ACM SIGMOBILE Mobile Computing and Communications Review, Volume 8, Number 1, Jan, 2004. 被引量:1

共引文献61

同被引文献31

  • 1康冠林,王福豹,段渭军.无线传感器网络时间同步综述[J].计算机测量与控制,2005,13(10):1021-1023. 被引量:36
  • 2刘东飞,王玉师,叶斌.基于层次结构传感器网络时间同步[J].传感器世界,2006,12(1):36-41. 被引量:1
  • 3BestRE.锁相环设计、仿真与应用[M].李永明,译.5版.北京:清华大学出版社,2007. 被引量:3
  • 4林涛,张浩,孙鹤旭.基于精密时间协议的时钟同步技术[J].计算机应用,2007,27(8):1828-1830. 被引量:8
  • 5JAGANNATHAN S, HORN B, RATILAL P, et al. Force estimation and prediction from time-varying density images[ J ]. IEEE Trans on Pattern Analysis and Machine Ihtelligence, 2011,33 ( 6 ) : 1132- 1146. 被引量:1
  • 6HAROLD L L. Time synchronization for seismic exploration: US pa- tent,5978313 [ P ]. 1999. 被引量:1
  • 7TIAN Jing-wen, GAO Mei-juan, ZHOU Hao. Multi-channel seismic data synchronizing acquisition system based on wireless sensor network [ C ] //Proc of IEEE International Conference on Networking, Sensing and Control. 2008 : 1269-1272. 被引量:1
  • 8昊康.声纳拖曳阵缆采集传输技术研究[D].天津:天津大学,2010. 被引量:1
  • 9Ganeriwal S, Kumar R, Srivastava M B. Timing - sync protocol for sensor networks [ C ]//Proceedings of the 1st international conference on Embedded networked sensor systems. ACM, 2003:138 -149. 被引量:1
  • 10JAGANNATHAN S,HORN B K P,RATILAL P. Force estimation and prediction from timevarying density images[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,(06):1132-1146. 被引量:1

引证文献4

二级引证文献9

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