期刊文献+

无线传感器网络中基于链路层服务的最可靠路由路径建立算法 被引量:4

Building the Best Reliable Routing Tree Using Link Quality Services in WSNs
下载PDF
导出
摘要 无线传感器网络中,链路通信质量随时空变化很大,并且有5%到15%的非对称链路存在.链路层服务不但可以发现邻居传感器节点,测量和预测邻居节点间的链路通信质量,而且还能提供链路数据转发机制减轻单向链路对其他协议的影响.为了进一步提高路由路径的可靠性和减少能量损耗,本文利用链路层服务,采用分布式算法,为每个传感器节点建立了到汇聚节点的最可靠路由路径,并理论分析该算法的性能,最后在无线传感器网络模拟器TOSSIM上进行了模拟.实验结果表明,基于链路层服务的最可靠路由路径建立算法,可充分利用单向链路建立更可靠的路由路径,有多于17%的节点建立了更可靠的路由路径,路由路径的可靠性提高了2%到51%. A recent study in wireless sensor networks (WSNs) has found that the link quality varies significantly with spatial and temporal factors and approximate 5% to 15% of all links are asymmetric links. The link quality services are used to measure and estimate the link quality between neighbors and provide the link layer relay mechanism to mitigate the effects of the unidirectional links. In order to provide the best reliable routing tree and reduce energy consumption, we developed a distributed algorithm to build the best reliable routing tree for every node using the link layer services. From statistic analysis and simulation using TOSSIM, we find that the algorithm can prevent from building a broken routing tree and build a more reliable routing tree. More than 17% nodes have built more reliable routing tree and the percentage of the improved reliability is about 2% to 51%.
出处 《自动化学报》 EI CSCD 北大核心 2007年第12期1269-1275,共7页 Acta Automatica Sinica
基金 国家部委重点基金(9140A24070106DZ01)资助~~
关键词 无线传感器网络 链路层服务 链路数据转发机制 最可靠路由路径算法 Wireless sensor networks, link quality services, link relay mechanism, algorithm to build the best reliable routing tree
  • 相关文献

参考文献17

二级参考文献198

  • 1ALERT. http://www.altersystem.org.
  • 2Bonnet P, Gehrke J, Seshadri P. Querying the physical world. IEEE Personal Communication, 2000,7(5):10-15.
  • 3Noury N, Herve T, Rialle V, Virone G, Mercier E. Monitoring behavior in home using a smart fall sensor. In: Proceedings of the IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Lyon: IEEE Computer Society, 2000.607~610.
  • 4Sensor Webs. http://sensorwebs.jpl.nasa.gov/.
  • 5Shill E, Cho S, Ickes N, Min R, Sinha A, Wang A, Chandrakasan A. Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In: Proceedings of the ACM MobiCom 2001. Rome: ACM Press, 2001. 272-286.
  • 6Akyildiz I.F, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor network: A survey. Computer Networks, 2002,38(4):393~422.
  • 7Asada G, Dong M, Lin TS, Newberg F, Pottle .G, Kaiser WJ, Marcy HO. Wireless integrated network sensors (WINS) for tactical information systems. In: Proceedings of the 1998 European Solid State Circuits Conference. New York: ACM Press, 1998. 15-20.
  • 8Sohrabi K, Pottie GJ. Performance of a novel self-organization protocol for wireless Ad hoc sensor networks. In: Proceedings of the IEEE 50th Vehicular Technology Conference. Amsterdam, 1999. 1222~1226.
  • 9Sinhua A, Chandrakasan A. Dynamic power management in wireless sensor network. IEEE Design and Test of Computer, 2001,18(2):62~74.
  • 10Lm C, Kim H, Ha S. Dynamic voltage scheduling technique for low-power multimedia application using buffers. In: Proceedings of the International Symposium on Low Power Electronics and Design. California: ACM Portal Press, 2001. 34~39.http://eeserver.korea.ac.kr/-bk21/arch/bk21 conf/26.pdf.

共引文献3022

同被引文献55

  • 1崔莉,鞠海玲,苗勇,李天璞,刘巍,赵泽.无线传感器网络研究进展[J].计算机研究与发展,2005,42(1):163-174. 被引量:730
  • 2王杉,庄钊文,王建新,魏急波.抗干扰自组网路由中定向波束的调度及性能研究[J].自动化学报,2007,33(7):775-777. 被引量:2
  • 3Gage D W. Command control for many-robot systems. In: Proceedings of the 19th Annual AUVS Technical Sympo- sium. Huntsville, USA: Unmanned Systems, 1992. 28-34.
  • 4Wang G L, Cao G H, Porta T F L. Movement-assisted sen- sor deployment. IEEE Transactions on Mobile Computing, 2006, 5(6): 640-652.
  • 5Cortes J, Martinez S, Karatas T, Bullo F. Coverage control for mobile sensing networks. IEEE Transactions on Robotics and Automation, 2004, 20(2): 243-255.
  • 6Heo N, Varshney P K. Energy-efficient deployment of intel- ligent mobile sensor networks. IEEE Transactions on Sys- tems, Man, and Cybernetics, Part A: Systems and Humans, 2005, 35(1): 78-92.
  • 7Jorgic M, Stojmenovic I, Hauspie M, Simplot-Ryl D. Lo- calized algorithms for detection of critical nodes and links for connectivity in ad hoc networks. In: Proceedings of the 3rd Annual Mediterranean Ad Hoc Networking Workshop. Bodrum, Turkey: IEEE, 2004. 360-371.
  • 8Das S, Liu H, Nayak A, Stojmenovic I. A localized algorithm for bi-connectivity of connected mobile robots. Telecommu- nication Systems, 2008, 40(3-4): 129-140.
  • 9Zou Y, Chakrabarty K. Sensor deployment and target local- ization based on virtual forces. In: Proceedings of the 22nd Annual Joint Conference of the IEEE Computer Communi- cations. Washington D. C., USA: IEEE, 2003. 1293-1303.
  • 10Howard A, Mataric M J, Sukhatme G S. Mobile sensor net- work deployment using potential field: a distributed scalable solution to the area coverage problem. In: Proceedings of the 6th International Symposium on Distributed Autonomous Robotic Systems. Fukuoka, Japan: Springer, 2002. 299-308.

引证文献4

二级引证文献42

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