期刊文献+

基于RSSI分布的无线Ad Hoc网络终端定位算法

Terminal localization algorithm based on RSSI distribution in wireless Ad Hoc networks
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摘要 为了解决基于信号强度衰减模型的定位算法误差较大的问题,提出了一种基于RSSI分布的无线Ad Hoc网络终端定位算法(LRPD).通过实际测量发现,接收端信号强度RSSI呈现波动态势,仅依靠信号强度的平均值不能较好地描述接收信号,因此考虑使用信号强度出现的频率来估计目标节点在可能位置出现的概率.LRPD算法根据每一个参考节点接收到的RSSI的分布,确定目标节点在离参考节点不同距离位置处出现的概率,然后综合考虑各参考节点的影响,实现最终位置的确定.在真实环境中,使用Intel无线网卡和Samsung平板电脑实现了LRPD算法定位.实验结果表明:针对边长为12 m的正三角形实验场景,所提算法误差约为1.43 m;与传统的质心定位方法和三边定位法相比,LRPD算法的定位精度更高. To reduce errors of the localization algorithms based on the path loss model of signals, a terminal localization algorithm based on RSSI ( radio signal strength indicator) distribution in wire-less Ad Hoc networks is proposed, which is named LRPD ( localization algorithm based on RSSI probability distribution) .The actual measurement results show that the RSSI of the received signal fluctuates.And the average of the RSSI alone cannot well represent the signal.Therefore, the fre-quency of each RSSI is used to estimate the probability of the target node’ s location.In the LRPD, the probabilities of the occurrence for the target node in different distances from the reference node are calculated according to the received RSSI distribution of each reference node.Then, localization is conducted considering the influence of all reference nodes comprehensively.The proposed scheme is verified by using Intel wireless network interface and Samsung Tablet in a real environment.The experimental results show that for an equilateral triangle with the side length of 12 m, the localization accuracy of the LRPD is about 1.43 m.Compared with the traditional centroid localization method and the trilateration method, the LRPD outperforms in localization accuracy.
出处 《东南大学学报(自然科学版)》 EI CAS CSCD 北大核心 2014年第4期703-707,共5页 Journal of Southeast University:Natural Science Edition
基金 国家自然科学基金资助项目(61272532 61300200 61370206 61370209)
关键词 定位 RSSI分布 信号衰减 localization RSSI( radio signal strength indicator) distribution signal attenuation
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参考文献12

  • 1Pister K S.Tracking vehicles with a UAV-delivered sensor network [EB/OL].(2008-03)[2013-06-01].http://robotics.eecs.berkeley.edu/~pister/29Palms0103/. 被引量:1
  • 2El Khaddar M A,Harroud H,Boulmalf M,et al.Emerging wireless technologies in e-health trends,challenges,and framework design issues[C] //Proceedings of 2012 IEEE International Conference on Multimedia Computing and Systems.Tangier,Morocco,2012:440-445. 被引量:1
  • 3Hassan M,Ali M,Aktas E.Radio frequency identification(RFID)technologies for locating warehouse resources:a conceptual framework[EB/OL].(2012)[2013-05-10].http://dspace.brunel.ac.ck/handle/2438/6958. 被引量:1
  • 4Zhao D,Gao X,Li B.Hand preference for spontaneously unimanual and bimanual coordinated tasks in wild Sichuan snub-nosed monkeys:implication for hemispheric specialization[J].Behavioural Brain Research,2010,208(1):85-89. 被引量:1
  • 5Paek J,Kim J,Govindan R.Energy-efficient rate-adaptive GPS-based positioning for smartphones[C] //Proceedings of the 8th International Conference on Mobile systems,Applications and Services.San Francisco,CA,USA,2010:299-314. 被引量:1
  • 6Chintalapudi K,Padmanabha I A,Padmanabhan V N.Indoor localization without the pain [C] //Proceedings of 2010 ACM International Conference on Mobile Computing and Networking.Chicago,IL,USA,2010:173-184. 被引量:1
  • 7Al Khanbashi N,Al Sindi N,Al-Araji S,et al.Real time evaluation of RF fingerprints in wireless LAN localization systems [C] //Proceedings of the 10th Workshop on Positioning Navigation and Communication.Dresden,Deutschland,2013:1-6. 被引量:1
  • 8刘云浩,杨铮,王小平,简丽荣.Location,Localization,and Localizability[J].Journal of Computer Science & Technology,2010,25(2):274-297. 被引量:36
  • 9Cai S,Li X,Gao Z,et al.Modified improved alternating combination trilateration algorithm with a variable M[C] //Proceedings of 2008 IEEE International MultiSymposiums on Computer and Computational Sciences.Shanghai,China,2008:98-101. 被引量:1
  • 10Zhang Z,Chen D.An improved RSSI-based centroid localization algorithm in wireless sensor networks[C] //Proceedings of IEEE 2011 International Conference on Computer Science and Service System.Nanjing,China,2011:3008-3011. 被引量:1

二级参考文献79

  • 1Varshneyy U. Pervasive healthcare. IEEE Computer, 2003, 36(12): 138-140. 被引量:1
  • 2Borriello G, Stanford V, Narayanaswami C, Menning W. Pervasive computing in healthcare. IEEE Pervasive Computing, 2007, 6(1): 17-19. 被引量:1
  • 3Satyanarayanan M. Pervasive computing: Vision and challenges. IEEE Personal Communications, 2001, 8(4): 10-17. 被引量:1
  • 4Weiser M. The computer for the twenty-first century. Scientific American, 1991, 265(3): 94-104. 被引量:1
  • 5Angeles R. RFID technologies: Supply-chain applications and implementation issues. Information Systems Management, 2005, 22(1): 51-65. 被引量:1
  • 6Gliddeny R. Design of ultra-low-cost UHF RFID tags for supply chain applications. IEEE Communications Magazine, 2004, 42(8): 140-151. 被引量:1
  • 7Yang Z, Li M, Liu Y. Sea depth measurement with restricted floating sensors. In Proc. IEEE RTSS, Tucson, USA, Dec. 3-6, 2007, pp.469-478. 被引量:1
  • 8Li M, Liu Y. Underground coal mine monitoring with wireless sensor networks. A CM Transactions on Sensor Networks (TOSN), 2009, 5(2): 10. 被引量:1
  • 9Mo L, He Y, Liu Yct al. Canopy closure estimates with GreenOrbs: Sustainable sensing in the forest. In Proc. ACM SenSys 2009, Berkeley, USA, Nov. 4-6, 2009, pp.99-112. 被引量:1
  • 10GreenOrbs Project. http://grccnorbs.org/, 2010. 被引量:1

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