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基于RSSI测距的信标节点自校正定位算法 被引量:27

Beacon Node Self-Tuning Localization Algorithm Based on RSSI
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摘要 节点定位是无线传感器网络中的重要应用之一。为了有效抑制各种因素对无线传感器节点定位精度的影响,以三边定位算法为基础,提出了一种基于误差校正的定位算法。该算法通过测量信标节点之间的距离,获得信标节点RSSI值测量误差和网络的定位误差,并对误差进行补偿,从而提高整个网络的定位精度。实验结果显示,该算法能明显提高定位精度和稳定性,具有普遍应用意义。 Localization of nodes is an important application of wireless sensor networks. In order to suppress effectively the effects of manifold factors to WSN node localization precision, a localization algorithm based on error correction is provided. Errors of RSSI measurement and network loeation ean be got by measuring the distance between beacon nodes, thus the positioning accuracy of entire network can be improved by error compen-sation. Tests show that this algorithm has the advantage of precision and stabilization, can be applied to many applications.
出处 《测控技术》 CSCD 北大核心 2009年第8期93-97,共5页 Measurement & Control Technology
基金 江苏省普通高校高新技术产业发展重点项目(JHB05-05) 南京市科技发展计划专项项目(200701067) 苏州市科技攻关专项项目(ZXN0607)
关键词 无线传感器网络 定位 信标节点 RSSI 自校正 wireless sensor networks localization beacon node RSSI serf-tuning
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参考文献11

  • 1Arampatzis T, Lygeros J, Manesis S. A survey of applications of wireless sensors and wireless sensor networks [ A ]. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation [ C ]. Limassol Cyprus, 2005:719 - 724.
  • 2Aboelaze M, Aloul F. Current and future trends in sensor networks: a survey [ A ]. Proceedings of Second IFIP International Conference on Wireless and Optical Communications Networks [ C ]. Missouri, USA,2005:551 - 555.
  • 3Vieira M, Coelho C, Silva D, et al. Survey on wireless sensor network devices [ A ]. Proceedings of IEEE Conference on Emerging Technologies and Factory Automation [ C ]. Belo Horizonte, Brazil,2003:537 - 544.
  • 4Al-Karaki J N, Kamal A. Routing techniques in wireless sensor networks: a survey [ J ]. IEEE Wireless Communications,2004,11 (6):6 -28.
  • 5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:672
  • 6Fox V, Hightower J, Liao L, et al. Bayesian filtering for location estimation [ J ]. Pervasive Computing, 2003,2 ( 3 ) : 24 - 33.
  • 7He T, Huang C D, Blum B M, et al. Range-free localization schemes for large scale sensor networks [ A ]. Proceedings of the 9^th Annual International Conference on Mobile Computing and Networking [ C ]. San Diego: ACM Press,2003 : 81 - 95.
  • 8Niculescu D, Nath B. Ad hoc positioning system (APS) using AOA [ A ]. Proceedings of Twenty-Second Annual Jovnt Conference of the IEEE Computer and Communications Societies [ C ]. NewYork :2003 : 1734 - 1743.
  • 9Li D, Wong K D, Hu Y H, et al. Detection, classification, and tracking of targets [ J ]. IEEE Signal Processing Magazine, 2002,19(2) :17 -29.
  • 10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:206

二级参考文献66

  • 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:672
  • 2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:206
  • 3于宁,万江文,吴银锋.无线传感器网络定位算法研究[J].传感技术学报,2007,20(1):187-192. 被引量:51
  • 4Bulusu N. Self-Configuring localization systems [Ph.D. Thesis]. Los Angeles: University of California, 2002.
  • 5Welch 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
  • 6Sawides 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
  • 7Hazas 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
  • 8Hazas 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
  • 9Doherty L. Algorithms for position and data recovery in wireless sensor networks [MS. Thesis]. Berkeley: University of California,2000.
  • 10Avvides 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

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