期刊文献+

应用于事件检测的无线传感器网络节点死活状态的研究 被引量:1

Study on Node Dead & Alive States in Event-detection Wireless Sensor Networks
下载PDF
导出
摘要 针对应用于事件检测的无线传感器网络的特点,在大量实验的基础上,分析了单个节点因能量消耗而死亡的全过程;根据节点工作的受限程度定义了节点的亚死亡状态和死亡状态,提出一种基于Heartbeat机制的节点亚死亡状态检测方法。该方法采用邻居监测方法检测节点是否处于沉默期,并参考节点自测电压值与重启现象判断其是否进入了亚死亡状态。同时给出节点死亡的判断公式。实验表明,该方法是有效的,降低了误判,为事件检测无线传感器网络的实际应用提供了支持。 Based on experiments, the paper analyzed power-exhausting process of a node in event-detection wireless sensor networks (WSN). It defined two states-dead state and alive state of a node, according to node work limitation. What is more, it proposed a detection method of node sub-death state based on heartbeat mechanism, which employs neighbor node monitoring method to detect if a node is on silent state. With the method,sub-death state was determined by voltage value and restart of a node. A formula of node death was presented. Experiment results show that the method is effective, and the rate or incorrect state judgment is reduced. It supports the applications of event-detection WSN.
出处 《计算机科学》 CSCD 北大核心 2009年第9期39-42,73,共5页 Computer Science
基金 国家自然科学基金项目(60773055) 航空基金项目(2006ZD56005) 江西省自然科学基金项目(2007GZS1501) 江西省研究生创新基金项目(YC08A087 YC2007014)资助
关键词 无线传感器网络 事件检测 节点死亡 节点亚死亡 Wireless sensor network,Event-detection, Node death, Node sub-death
  • 相关文献

参考文献8

  • 1Chandra T D,Toueg & Unreliable Failure Detectors for Reliable Distributed Systems[J].Journal of the ACM,1996,43(2):255-267.
  • 2Rost S,Balakrishnan H.Memento:A Health Monitoring System for Wireless Sensor Networks[C]//2006 3rd Annual IEEE Communications Society on Sensor and Adhoc Communications and Networks.Reston VA,USA,2006:575-584.
  • 3Ramanathan N,Chang K,Kohler E,et al.Sympathy for the sensor network debugger[C]//Networked sensor systems:Third ACM Conference on Embedded Networked Sensor System(SenSys).San Diego,California,USA,2005:255-267.
  • 4Hsin C F,Liu M.A Distributed Monitoring Mechanism for Wireless Sensor Networks[C]//Proceeding of the 3rd ACM Workshop on Wireless Security.Atlanta,GA,USA,2002:57-66.
  • 5Bapat S,Leal W,Kwon T,et al.Chowkidar:A Heahh Monitor for Wireless Sensor Network Testbeds[R].OSU-CISRC-10/06-TR76.The Ohio State University,2006.
  • 6Eai W,Bapat S,Kwon T,et al.Stabilizing Health Monitoring for Wireless SerLsor Networks[C]//Lecture Notes in Computer Science:8th International Symposium on Stabilization,Sefety,and Secufity of Distributed Systems.Dallas,TX,USA,2006:395-410.
  • 7王珏明,顾超,钱莉.无线传感网之能量篇[J].计算机应用与软件,2007,24(1):85-86. 被引量:7
  • 8Koushanfatr F,Potkonjak M,Sangiovanni v.On-line Fault Detection of Sensor Measurements[C]//Sensors,2003.Proceedings of IEEE Toronto,Canada,2003,2:974-979.

二级参考文献6

  • 1Website of the Embedded Sensor Board ESB 430/2:http://www.scatterweb.com.
  • 2I.F.Akyildiz,S.Su,Y.Sankarasubramanian and E.Cayirci:Wireless Sensor Networks;A Survey,Computer Networks,Vol.38,No.4,March 2002.
  • 3Shawn,an open-source discrete event simulator for sensor networks:http://www.swarmnet.de/shawn.
  • 4Chien-Liang Fok,Gruia-Catalin Roman,and Chenyang Lu,Rapid Development and Flexible Deployment of AdaptiveWireless Sensor Network Applications,http://www.cse.wustl.edu/~lu/papers/icdcs05_agilla.pdf.
  • 5A.Boulis,C.-C.Han,and M.Srivastava.Design and implementation of a framework for efficient and programmable sensor networks.In Proc.of MobiSys,2003.
  • 6Wei Ye,John Heidemann,Deborah Estrin,An Energy-Efficient MAC Protocol for Wireless Sensor Networks,http://www.isi.edu/div7/publication_files/Ye02a.pdf.

共引文献6

同被引文献6

  • 1Atakli Idris M,Hu Hongbing,Chen Yu,et al. Mali- cious node detection in wireless sensor networks using weighted trust evaluation [C] //ACM. The 2008 Spring Simulation Multiconference, SanDiego: ACM Press, 2008 : 836-843.
  • 2Meng Jia, Li Husheng, Han Zhu. Sparse event detec- tion in wireless sensor networks using compressive sensing[C] //Barbara A Sullivan. The 43rd Annual Conference on Information Sciences and Systems. Jeff So0knarine: Johns-Hopkins University, 2009: 181- 185.
  • 3Candes E J, Tao T. Near-optimal signal recovery from random projections: Universal encoding strategies[J]. IEEE Trans Inform Theory, 2006, 52 (12): 5406-5425.
  • 4Bruckstein A, Donoho D L, Elad M. From sparse solutions of systems of equations to sparse modeling of signals and images[J]. SIAM Review, 2007, 51 (1) : 34-81.
  • 5Donoho D L, Elad M. Optimally sparse representa- tion in general (non-orthogonal) dictionaries via L1 minimization[J]. Proc Natl Acad Sci, 2003,100(5): 2197-2202.
  • 6Rao B D, Kreutz D K. An affine scaling methodology for best basis selection [J]. IEEE Transactions on Signal Processing, 1999, 47(1):187-200.

引证文献1

二级引证文献12

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