期刊文献+

基于信号源能量模型的传感器网络追踪算法研究

The Arithmetic of Sensor Network Track Based on the Model of Signal Energy
下载PDF
导出
摘要 比较了应用于传感器网络声源追踪定位的3种模型,其中信号源能量模型对数据处理简单,更利于节省能量。针对现有基于信号源能量模型的算法的不足,给出了一种全新的算法—梯度迭代算法,并通过仿真实验证明了其在追踪的精确度和速度方面具有明显的优势。 In light of the shortcoming of existent arithmetic based on the model of Signal Energy used to sensor network track, the author proposes a new arithmetic-the Arithmetic of Itcrativc Grade and proves it has obvious advantage in accuracy and speed of track through emulation ecperiment.
作者 左利云
出处 《茂名学院学报》 2007年第6期44-48,共5页 Journal of Maoming College
关键词 传感器网络 信号源能量模型 梯度迭代算法 Sensor Network the model of Signal Energy the Arithmetic of Iterative Grade
  • 相关文献

参考文献6

  • 1任丰原,黄海宁,林闯.无线传感器网络[J].软件学报,2003,14(7):1282-1291. 被引量:1709
  • 2李建中,李金宝,石胜飞.传感器网络及其数据管理的概念、问题与进展[J].软件学报,2003,14(10):1717-1727. 被引量:621
  • 3Yu Y, Silverman H F. An improved TDOA- based location estimation algorithm for large aperture microphone arrays[J]. Acoustics Speech and Signal Processing, 2004,17 - 21:77 - 88.
  • 4Jian M, Ales C K, Meng H,et al. DOA estimation of speech source with microphone arrays[J].IEEE Transactions on Circrits and Systems, 1998,5 - 31:293 - 296.
  • 5Yu H H, Li D. Energe based collaborative source localization using acoustic micro-sensor arrays[J]. IEEE Workshop Multimedia Signal,2002,9-11:371 -375.
  • 6Sheng X H, Hu Y H. Maximum Likelihood Wireless Sensor Network Source Localization Using Acoustic Signal Energy Measurements[J]. IEEE Transactions on Signal Processing,2003,8:96 - 99.

二级参考文献73

  • 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2161

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