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无线传感器网络中干扰模型的低开销测量方法 被引量:2

Low-cost Interference Model Measurement in Wireless Sensor Networks
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摘要 无线传感器网络中的干扰会严重影响传输性能.最近的研究表明干扰模型能够很好的反映出干扰存在下传输的真实性能.目前建立干扰模型的方法会导致巨大的开销.本文提出一种无线传感器网络中干扰模型的低开销测量方法.该方法利用信号强度表,基于回归分析的模型以及一种新的时钟校准方法来降低开销.实验结果表明,跟传统的测量方法相比较,该方法能够在降低开销的同时达到很高的准确度. Interference in Wireless Sensor Network(WSN) drastically degrades the performance of transmission.Recent studies have shown that the interference model offers significantly improved realism.However,existing interference modeling approaches lead to prohibitively high overhead.This paper presents LIMM,a Low-cost Interference Model Measurement,to reduce the overhead of maintaining accurate interference model for WSN.LIMM reduces the overhead for measurement by introducing a new signal strength table,a new regression-based PRR-SINR model and a new clock calibration technique.The experiment results show that LIMM can achieve high accuracy of PRR-SINR modeling with significantly low overhead comparing to the existing measurement method.
出处 《小型微型计算机系统》 CSCD 北大核心 2012年第7期1404-1408,共5页 Journal of Chinese Computer Systems
基金 国家"九七三"重点基础研究发展计划基金项目(2006CB303006)资助
关键词 干扰模型 低开销 测量 无线传感器网络 interference model low-cost measurement wireless sensor network
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参考文献11

  • 1Liu S, Xing G,Zhang H, et al. Passive interference measurement in wireless sensor networks[ C]. IEEE ICNP, Kyoto, Japan,2010.
  • 2Goussevskaia O,Oswald Y A, Wattenhofer R. Complexity in geo- metric sinr[C]. ACM MobiHoc,Montreal, QC, Canada,2007.
  • 3Maheshwari R,Jain S, Das S R. A measurement study of interfer- ence modeling and scheduling in low-power wireless networks [ C ]. ACM SenSys, Raleigh, NC, USA,2008.
  • 4Ganeriwal S, Kumar R, Srivastava M B. Timing-sync protocol for sensor networks[C]. ACM SenSys, Los Angeles, CA, USA,2003.
  • 5TinyOS collection tree protocol (CTP) [ EB/OL ]. http ://www. tinyos, net/tinyos-2, x/doc/html/tep123, htm1,2007.
  • 6Lin S, Zhang J, Zhou G, et al. ATPC: adaptive transmission power control for wireless sensor networks [ C ]. ACM SenSys, Boulder, Colorado, USA,2006.
  • 7Kashyap A, Ganguly S, Das S R. A measurement based approach to modeling link capacity in 802. 11-based wireless networks [ C ]. ACM MobiCom, Montreal, QC, Canada,2007.
  • 8Son D, Krishnamachari B, Heidemann J. Experimental study of concurrent transmission in wireless sensor networks [ C ]. ACM Sensvs, Boulder. Colorado. USA.2006.
  • 9Sha M, Xing G, Zhou G, et al. C-mac : model-driven concurrent medium access control for wireless sensor networks[ C ]. IEEE In- focom, Rio de Janeiro, Brazil,2009.
  • 10Gupta P, Kumar P R. The capacity of wireless networks [ J ]. IEEE Transactions on Information Theory, 2000,46:388-404.

二级参考文献32

  • 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.

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