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一种环境自适应的无线传感器网络定位算法 被引量:4

Environment Self-adaptive Wireless Sensor Network Localization Algorithm
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摘要 在目前无线传感器网络中,接收信号强度指示(RSSI)测距模型严重依赖于信号衰减因子。为解决该问题,提出一种环境自适应的无线传感器网络定位算法。该算法利用改进的RSSI测距方法,通过网络中边与边之间的量化关系,消去信号衰减因子对定位算法的影响,从而使算法能实现对环境的认知。仿真实验结果表明,与传统的MDS-MAP定位算法相比,该算法具有较强的环境自适应能力和较好的定位精度。 Aiming at the problem of the Received Signal Strength Indication(RSSI) model depending on the signal attenuation factor,this paper puts forward an environment self-adaptive localization algorithm.With the improved RSSI method,the signal attenuation factor which impacts the precision of the localization algorithm is eliminated through the quantitative relationship between the edges and the algorithm can realize awareness of the environment.Simulation experimental result shows that the improved localization algorithm has higher precision and stronger self-adaptability than traditional MDS-MAP algorithm.
出处 《计算机工程》 CAS CSCD 2012年第11期104-106,共3页 Computer Engineering
基金 重庆市教委研究计划基金资助项目(KJ10082)
关键词 无线传感器网络 定位算法 自适应 接收信号强度指示 MDS-MAP方法 信号衰减因子 Wireless Sensor Network(WSN) localization algorithm self-adaptive Received Signal Strength Indication(RSSI) MDS-MAP method signal attenuation factor
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参考文献8

  • 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
  • 2Bahl P, Padmanabhan V N. RADAR: An Inbuilding RF-based User Location and Tracking System[C]//Proc. of IEEE INFOCOM'00. Tel Aviv, Israel: [s. n.], 2000.
  • 3Hatter A, Hopper A, Steggles P, et al. The Anatomy of a Context Aware Application[J]. Wireless Networks, 2002, 8(2/3): 187-197.
  • 4Girod L, Estrin D. Robust Range Estimation Using Acoustic and Multimodal Sensing[C]//Proc. Of IEEE International Conference on Intelligent Robusts and Systems. [S. 1.]: IEEE Press, 2001.
  • 5Bulusu N, Heidemann J, Estrin D. GPS-less Low Cost Outdoor Localization for Very Small Devices[J]. IEEE Personal C6hamuni- cations Magazine, 2000, 7(5): 28-34.
  • 6周四清,陈锐标.无线传感器网络APIT定位算法及其改进[J].计算机工程,2009,35(7):87-89. 被引量:29
  • 7Shang Yi, Ruml W, Zhang Ying. Localization from Connectivity in Sensor Networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2004, 15(11): 961-974.
  • 8王珊珊,殷建平,蔡志平,张国敏.基于RSSI的无线传感器网络节点自身定位算法[J].计算机研究与发展,2008,45(z1):385-388. 被引量:30

二级参考文献61

  • 1Blum B M, Stankovic J A, Abdelzaher T. Range-free Localization Schemes for Large Scale Sensor Networks[C]//Proc. of the 9th Annual Int'l Conf. on Mobile Computing and Networking. San Diego, CA, USA: [s. n.], 2003.
  • 2[1]T He,C D Huang,B M Blum.Range-free localization schemes in large scale sensor networks.The 9th Annual Int'l Conf on Mobile Computing and Network (MobiCom'03),San Diego,2003
  • 3[2]C Liu,K Wu,T He.Sensor localization with ring overlapping based on comparison of received signal strength indicator.IEEE MASS,Fort Lauderdale,FL,2004
  • 4[3]N Patwari,A Hero.Using proximity and quantized RSS for sensor localization in wireless networks.The 2nd ACM Int'l Workshop on Wireless Sensor Networks and Applications,San Diego,CA,2003
  • 5[4]X Li,H C Shi,Y Shang.A sorted RSSI quantization based algorithm for sensor network localization.The 11th Int'l Conf on Parallel and Distributed Systems,Fuduoka,Japan,2005
  • 6[5]T Rappaport.Wireless communications:Principles and practice.Englewood Cliffs,New Jersey:Prentice-Hall,2002
  • 7[6]Mosek optimization software.http://www.mosek.com,2007-04
  • 8[7]L Doherty,K S Pister,L E Ghaoui.Convex position estimation in wireless sensor networks.In:Proc of the IEEE INFOCOM 2001.Anchorage,Alaska:IEEE Computer and Communications Societies,2001.1655-1663
  • 9Bulusu N. Self-Configuring localization systems [Ph.D. Thesis]. Los Angeles: University of California, 2002.
  • 10Welch 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

共引文献717

同被引文献30

  • 1安恂,蒋挺,周正.一种用于无线传感器网络的质心定位算法[J].计算机工程与应用,2007,43(20):136-138. 被引量:35
  • 2王珊珊,殷建平,蔡志平,等.基于RSSI的无线传感器网络的节点自身定位算法[D].国防科技大学,2008.
  • 3Priyantha N B,Balakfrishnam M H,Deraine E D,6i al. Anchor-freedistributed localization in sensor networks, MIT-LCS-TR-892. Cambrige : MIT Lab for Computer Science, 2003.
  • 4Harter A,Hopper A,Steggles P,et al. The anatomy of a context a-ware application Wireless Networks,2002 ;8(2/3) :187_197.
  • 5Bulusu N, Heidemann J, Estrin D. GPS-less low-cost outdoor lo-calization for very small devices[ J ]. IEEE Personal Communica- tions Magazine,2000,7 (5) :28 -34.
  • 6Han Guangjie, Xu Huihui, Trung Q D. Localization Algorithms of Wireless Sensor Networks : A Survey [ J]. Telecommunication Systems, 2013,52 ( 4 ) : 2419-2436.
  • 7Shu Jian,Zhang Ronglei,Liu Linlan. Cluster-based Three- dimensional Localization Algorithm for Large Scale Wireless Sensor Networks[J]. Journal of Computers, 2009,4(7) :585-592.
  • 8Zhang Ye,Zhang Feng. Three-dimensional Node Localiza- tion Algorithm for Wireless Sensor Networks[ J]. Sensors & Transducers ,2013,151 (4) :90-94.
  • 9Bahl Paramvir,Padmanabhan Venkata N.RADAR:an in-building RF-based user Location and tracking system[A].Proceedings-IEEE INFOCOM[C],Tel Aviv,Isr,2000:775-784.
  • 10L.Girod and D.estrin.Robust range estimation using acoustic and multimodal sensing[A].IEEE International Conference on Intelligent Robots and Systems[C],Maui,Hl,United states,2001:1312-1320.

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