期刊文献+

基于圆形选择技术的循环三边组合测量法的研究 被引量:6

Alternating Combination Trilateration Based on Circle-Selection
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摘要 在传感器网络的绝大多数应用中,只有当节点和被感知物体的位置已知时节点获得的信息才有意义.因此,节点定位技术是传感器网络的关键技术之一.IACT(i mproved alternating combinationtrilateration)算法通过新的高权重三角形选择方法对ACT(alternating combination trilateration)算法进行了改进.在不影响定位精度的前提下,IACT具有更低的计算费用.但是,它的计算费用仍然很高.因此,提出了基于圆形的权重三角形选择方法,并在该选择方法的基础上提出了ACTBCS(alternating combination trilateration based on circle-selection)算法来进一步改进IACT算法.研究表明ACTBCS在保证定位精度的前提下具有更低的计算费用. WSN(wireless sensor network) is formed by a large number of cheap sensors, which are communicated by an ad hoe wireless network. WSN is used to be deployed in a certain area to collect information Of sensed objects. In most applications of WSN, the acquired information is useful only when the locations of sensors and objects are known. Therefore, localization is one of the most important technologies of WSN. However, the characters of WSN, such as limited wireless bandwidth and limited power and processing ability of sensor node, determine that the localization of sensor network is a challenge. In ACT (alternating combination trilateration), in order to acquire higher localization precision, all weight triangles formed by any three beacons are used to localize a sensor node. However, its calculation overhead is very high. Therefore, IACT(improved alternating combination trilateration) is proposed to improve ACT(alternating combination trilateration) by a new high-weight triangle selection method, and acquires a lower calculation overhead without affecting its location precision. However, the studies show that its calculation overhead can be reduced further. Therefore, a new high-weight triangle selection method based a cycle is proposed, and IACT is improved further by ACTBCS(alternating combination trilateration based on circle-selection) based on the circle-based selection method. Compared with IACT, ACTBCS has lower calculation overhead and similar preeision of location.
出处 《计算机研究与发展》 EI CSCD 北大核心 2010年第2期238-244,共7页 Journal of Computer Research and Development
基金 国家自然科学基金项目(60603059 60703090 60503055) 黑龙江省科技计划基金项目(GC06C106) 哈尔滨工程大学校青年骨干教师支持计划基金项目~~
关键词 无线传感器网络 节点 定位 权重 选择 wireless sensor network node location weight selection
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参考文献14

  • 1Akyildig I F. A survey on sensor networks [J]. IEEE Communications Magazine, 2002, 38(4): 725-734.
  • 2Estrin D, Govindan R, Heidemann J. Next century challenges: Scalable coordinate in sensor network [C] //Proc of the 5th ACM/IEEE Int Conf on Mobile Computing and Networking (Mobicom'99). New York: ACM, 1999: 263- 270.
  • 3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
  • 4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
  • 5崔逊学,刘建军,樊秀梅.传感器网络中一种分布式无锚点定位算法[J].计算机研究与发展,2009,46(3):425-433. 被引量:20
  • 6Girod L, Bychovskiy V, Elson J, et al. Locating tiny sensors in time and space: A case study [C] //Proc of the Int Conf on Computer Design (ICCD 2002). New York: IEEE, 2002: 214-219.
  • 7Girod L, Estin D. Robust. range estimation using acoustic and multimodal sensing [J]. Intelligent Robots and Systems, 2001, 3(2): 1312-1320.
  • 8Patwari N, Nero Ⅲ A O, Perkins M, et al. Relative location estimation in wireless sensor network [J]. IEEE Trans on Signal Processing, 2003, 51(8): 2137-2148.
  • 9Priyantha N B, Miu A K L, Balakrishnan H, et al. The cricket compass for context-aware mobile application [C] // Proc'of the 7th ACM Int Conf on Mobile Computing and Networking (Mobocom'01). New York: ACM, 2001:1-14.
  • 10Langendoen K, Reijers. Distributed localization in wireless sensor networks: A quantitative comparison [J]. Computer Network, 2003, 42(4): 499-518.

二级参考文献75

  • 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崔逊学,方红雨,朱徐来.传感器网络定位问题的概率特征[J].计算机研究与发展,2007,44(4):630-635. 被引量:14
  • 3Langendoen K, Reijers N. Distributed localization in wireless sensor networks: A quantitative comparison [J]. Computer Networks, 2003, 43(4): 499-518
  • 4Priyantha N B, Balakrishnan H, Demaine E, et al. Anchorfree distributed localization in sensor networks, #892 [R]. Massachusetts: MIT Laboratory for Computer Science, 2003
  • 5Savarese C, Rabaey J M, Beutel J. Locationing in distributed ad-hoc wireless sensor networks [C]//Proc of the 2001 IEEE Int Conf Acoustics, Speech and Signal Processing (ICASSP 2001). Piscataway NJ: IEEE, 2001: 2037-2040
  • 6Moseibroda T, O'Dell R, Wattenhofer M, et al. Virtual coordinates for ad hoc and sensor networks [C] //Proc of the 2004 Joint Workshop on Foundations of Mobile Computing. New York: ACM, 2004: 8-16
  • 7Shang Y, Rural W, Zhang Y. Localization from mere connectivity [C]//Proc of the 4th ACM Int Symp on Mobile Ad Hoc Networking & Computing. New York: ACM, 2003:201-212
  • 8Hui Qu, Stephen B Wicker. Anchor free localization in rapidly-deployed wireless sensor networks [C] //The 3rd IEEE lnt Conf on Mobile Ad Hoc and Sensor Systems (MASS'06). Piscataway, NJ: IEEE, 2006:627-632
  • 9Youssef A, Agrawala Ashok, Younis M. Accurate anchorfree node localization in wireless sensor networks [C]//The 24th IEEE Int Conf of Performance, Computing, and Communications. Piscataway, NJ: IEEE, 2005:465-470
  • 10Ma Jian, Zhu Yanmin, Cben Quanbin, et al. Quality-based anchor-free localization with refinement in sensor networks, CSE technical reports 2046 [R]. Hong Kong: Hong Kong University of Science and Technology, 2004

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