期刊文献+

一维环境下的无线传感器网络节点定位算法 被引量:1

Node localization algorithm in one dimension environment for wireless sensor network
下载PDF
导出
摘要 针对无线传感器网络在道路监控、管道传输等一维环境中的应用,提出了基于接收信号强度比值的一维定位算法1-DIM-RSSR(1Dimension Received Signal Strength Ratio)。该算法基于一维线性定位的思想,利用接收信号强度比值来确定未知节点的位置,只需要一次建立接收信号强度比值的数据库。实验结果表明,当环境改变时,与RSSI算法相比,1-DIM-RSSR算法定位精度高,在一维线性应用领域表现出了良好的灵活性和实用性。 In the application of wireless sensor networks for road surveillance and pipeline transmission,an algorithm based on 1 Dimension Received Signal Strength Ratio is presented.The algorithm is based on Received Signal Strength Indicator(RSSI) and linear location,and utilizes the ratios of signal strengths,instead of signal strength,to determine the locations of the unknown nodes.The algorithm only needs to establish the data set for ratio of the signal strengths once.Experiment results and comparisons with the RSSI algorithm show that the 1 Dimension Received Signal Strength Ratio(1-DIM-RSSR) can improve the location precision when the environments is changed,and the algorithm is well flexible and practical for linear applications.
作者 刘学平
出处 《计算机工程与应用》 CSCD 北大核心 2010年第11期112-114,共3页 Computer Engineering and Applications
基金 中国博士后科学基金资助项目No.20070410381 陕西省教育厅科研项目No.08JK447 西北大学校内科学研究基金项目No.2005N35~~
关键词 无线传感器网络 一维环境 定位算法 接收信号强度比值 wireless sensor networks one dimension environment location algorithm received signal strength ratio
  • 相关文献

参考文献12

  • 1Alippi C,Mottarella A.Vanini G.A rfmap-based localization algorithm for indoor environments[C]//IEEE International Symposium on Circuits and Systems,2005,1:652-655.
  • 2Bahl P.Padmanabhan V N.RADAR:An in-building RF-based user location and tracking system[C]//19th Annual Joint Conference of the IEEE Computer and Communications Societies.IEEE,2000,2:775-784.
  • 3He T,Huang C D,Blum B M,et al.Range-free localization schemes in large scale sensor networks[C]//Proceedings of the 9th Annual International Conference on Mobile Computing and Networking.ACM Press,2003:81-95.
  • 4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
  • 5Bahl P,Padmanabhan V N.RADAR:An in-building RF-based user location and tracking system[C]//19th Annual Joint Conference of the IEEE Computer and Communications Societies.IEEE,2000,2:775-784.
  • 6Whitehouse K,Culler D.Calibration as parameter estimation in sensor networks[C]//Proceedings of ACM International Workshop on Wireless Sensor Networks and Application,2002:59-67.
  • 7Ni L M.Liu Yunhao.Lau Yiu Cho,et al.Landmarc:Indoor location sensing using active RFID[C]//First International Conference on Innovative Computing,Information and Control,2005,2:453-456.
  • 8Terwilliger M,Gupta A,Bhuse V,et al.A localization system using Wireless Network Sensors:A comparison of two techniques[C]//Proc First Workshop on Positioning,Navigation and Communication,Hannover,Germany,2004.
  • 9Lorincz K.Malan D J.Fulford-Jones T R F.Sensor networks for e-mergency response:Challenges and opportunities[J].Pervasive Computing,IEEE,2004,3:16-23.2004,30(7):13-14.
  • 10马祖长,孙怡宁.无线传感器网络节点的定位算法[J].计算机工程,2004,30(7):13-14. 被引量:67

二级参考文献61

  • 1Bulusu N. Self-Configuring localization systems [Ph.D. Thesis]. Los Angeles: University of California, 2002.
  • 2Welch 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
  • 3Sawides 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
  • 4Hazas 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
  • 5Hazas 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
  • 6Doherty L. Algorithms for position and data recovery in wireless sensor networks [MS. Thesis]. Berkeley: University of California,2000.
  • 7Avvides 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
  • 8He 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
  • 9Girod 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
  • 10Priyantha NB, Miu AKL, Balakrishnan H, Teller S. The cricket compass for context-aware mobile applications. In: Proc. of the 7th Annual Int'l Conf. on Mobile Computing and Networking. Rome: ACM Press, 2001. 1-14. http://nms.lcs.mit.edu/papers/Cricket Compass.pdf

共引文献741

同被引文献7

  • 1Kumar S.Sensor networks:evolution,opportunities,and challenges[J]. IEEE Transactions on Computers, 2003,91 ( 8 ) : 23-27.
  • 2Shih T F, Chang Weiteng.Hierarchical localization strategy for wireless sensor networks[J].WSEAS Trans on Computers,2008,7(8):1260-1269.
  • 3Ward C C, Iagnemma K.A dynamic-model-based wheel slip de- tector for mobile robots on outdoor terrain[J].IEEE Trans on Ro- botics, 2008,24(4) : 821-831.
  • 4Qin Yongyuan, Zhang Hongyue, Wang Shuhua.Theory of Kalman filtering and integrated navigation[M].Xi'an:Northwestern Poly- technical University Press, 2004.
  • 5Liu Ying,Qian Zhihong,Wang Xue,et al.Wireless sensor network centroid localization algorithm based on time difference of ar- rival[J] .Journal of Jilin University, 201 O, 40 ( 1 ) : 245-249.
  • 6李建中,高宏.无线传感器网络的研究进展[J].计算机研究与发展,2008,45(1):1-15. 被引量:440
  • 7邓彬伟,黄光明.WSN中的质心定位算法研究[J].计算机应用与软件,2010,27(1):213-214. 被引量:13

引证文献1

二级引证文献4

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