期刊文献+

基于ED限制滤波的测距研究

Study of distance measurement based on ED limiting filter
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摘要 在无线传感器网络的广泛应用中,事件发生的位置是传感器节点监测消息中所包含的重要信息,监测消息中没有位置信息是毫无意义的。当前的定位机制主要分为基于测距的定位算法和无需测距的定位算法,而获取节点之间的距离是基于测距定位应用的首要基础。在能量有限的网络节点中,利用ED测距具有能耗低,成本少的优点。本文分析了ED与距离的关系,通过克尔斯博公司的Iris节点实验,验证了在无线传感器网络具体应用环境下,ED值随着距离的增大而逐渐减小,且应用限制ED值滤波法能消除环境干扰对ED测距的影响。 Now the main location mechanism contains Range-based and Range-free,knowing the distance between the nodes is the primary basis of using the Range-based algorithms.ED (energy detection),featuring low energy consumption and cost less,is our basis of localization on the energy constrained sensor nodes.In this paper,we first analyze the relationship between distance and ED,and then using the Iris node of Crossbow validate that ED value decrease gradually with the increase of distance in the specific application of wireless sensor network environment.If we take some measurements such as limiting ED value filtering method to eliminate the environmental interference.
作者 刘新新 岳魁
出处 《电子测试》 2010年第12期51-53,68,共4页 Electronic Test
关键词 无线传感器网络 节点定位 ED测距 环境因素 wireless sensor network node localization distance measurement based on ED environmental factor
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参考文献7

  • 1王福豹,史龙,任丰原.无线传感器网络中的自身定位系统和算法[J].软件学报,2005,16(5):857-868. 被引量:673
  • 2Callaway EH.Wireless Sensor Networks:Architectures and Protocols[M].Boca Raton,Florida:CRC Press,2004:1-10.
  • 3Azuma R.Tracking Requircments for Augmented Reality[J].Communication of the ACM,1993,36(7):50-51.
  • 4Baunach,M.Kolla,R.Mvihlberger,C.Beyond.Theory:Development of a Real World Localization Application as Low Power WSN[C].Proceedings of the 32nd IEEE International Conference On Local Computer:872-884.
  • 5Bulusu N,Heidemann J,Est rin D.GPS-less Low Cost Outdoor Localization.For Very Small Devices[J].IEEE Personal Communications Magazine,2000,7(5):28-34.
  • 6陈维克,李文锋,首珩,袁兵.基于RSSI的无线传感器网络加权质心定位算法[J].武汉理工大学学报(交通科学与工程版),2006,30(2):265-268. 被引量:207
  • 7AT86RF230 Data Sheet[S].2007:50-51.

二级参考文献58

  • 1王福豹,史龙,任丰原.无线传感器网络中的自身定位系统和算法[J].软件学报,2005,16(5):857-868. 被引量:673
  • 2Bulusu N. Self-Configuring localization systems [Ph.D. Thesis]. Los Angeles: University of California, 2002.
  • 3Welch G, Bishop G, Vicci L, Brumback S, Keller K, Colucci D. The HiBall tracker: High-Performance wide-area tracking for virtual and augmented environments. In: Proc. of the ACM Symp. on Virtual Reality Software and Technology. London: ACM Press, 1999. 1-11. http://www.cs.unc.edu/~welch/media/pdf/VRST99_HiBall.pdf
  • 4Sawides A, Han C-C, Srivastava MB. Dynamic fine-grained localization in ad-hoc networks of sensors. In: Proc. of the 7th Annual Int'l Conf. on Mobile Computing and Networking. Rome: ACM Press, 2001. 166-179. http://citeseer. ist.psu.edu/savvides01dynamic.html
  • 5Hazas M, Ward A. A novel broadband ultrasonic location system. In: Borriello G, Holmquist LE, eds. Proc. of the 4th Int'l Conf.on Ubiquitous Computing. Goteborg: Springer-Verlag, 2002. 264-280. http://www.viktoria.se/ubicomp/ap.html
  • 6Hazas M, Ward A. A high performance privacy-oriented location system. In: Titsworth F, ed. Proc. of the 1st IEEE Int'l Conf. on Pervasive Computing and Communications. Fort Worth: IEEE Computer Society, 2003. 216-233. http://www.comp.lancs.ac.uk/~hazas/Hazas03_AHighPerformancePrivacy-OrientedLS.pdf
  • 7Doherty L. Algorithms for position and data recovery in wireless sensor networks [MS. Thesis]. Berkeley: University of California,2000.
  • 8Avvides A, Park H, Srivastava MB. The bits and flops of the N-hop multilateration primitive for node localization problems. In:Proc. of the 1st ACM Int'l Workshop on Wireless Sensor Networks and Applications. Atlanta: ACM Press, 2002. 112-121.http://nesl.ee.ucla.edu/projects/ahlos/reports/tm20020307 AS.pdf
  • 9He T, Huang CD, Blum BM, Stankovic JA, Abdelzaher T. Range-Free localization schemes in large scale sensor networks. In: Proc.of the 9th Annual Int'l Conf. on Mobile Computing and Networking. San Diego: ACM Press, 2003.81-95. http://www.cs.virginia.edu/~th7c/paper/APIT_CS-2003 -06.pdf
  • 10Girod L, Bychovskiy V, Elson J, Estrin D. Locating tiny sensors in time and space: A case study. In: Werner B, ed. Proc. of the2002 IEEE Int'l Conf. on Computer Design: VLSI in Computers and Processors. Freiburg: IEEE Computer Society, 2002. 214-219.http://lecs.cs.ucla.edu/Publications/papers/iccd-2002.pdf

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