北京邮电大学学报

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北京邮电大学学报

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基于球壳交集的传感器网络三维定位算法研究

吕良彬1, 曹阳1,2, 高洵1, 罗卉1   

  1. 1.武汉大学 电子信息学院, 武汉430079; 2.武汉大学 软件工程国家重点实验室, 武汉 430072
  • 收稿日期:2006-01-20 修回日期:1900-01-01 出版日期:2006-05-30 发布日期:2006-05-30
  • 通讯作者: 吕良彬
  • 基金资助:
     

Survey on Three Dimensional Localization Schemes Based on Sphere Intersections in Wireless Sensor Network

Lü Liangbin 1, Cao Yang 1,2, Gao Xun 1, Luo Hui 1   

  1. 1.Electronic and Information School, Wuhan University, Wuhan 430079, China;
    2.State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, China
  • Received:2006-01-20 Revised:1900-01-01 Online:2006-05-30 Published:2006-05-30
  • Contact: Lü Liangbin
  • Supported by:
     

摘要: 针对传感器网络在空间、海洋等三维场景下的应用,基于划分空间为球壳并取球壳交集定位的思想,提出了对传感器结点进行三维定位的非距离定位算法Approximate Point In Sphere (APIS)算法,研究了该算法的原理和实现方法,并对该算法在VC环境中进行了仿真实验,最后对其结果进行了分析。实验表明,在100×100×100单位的三维空间中,随机放置55个锚结点,就能对98%的结点进行定位,其平均相对误差仅为60%。因此,APIS算法能有效地实现三维环境中的传感器结点定位。

关键词: 无线传感器网络, 三维结点定位, Range-Free定位算法

Abstract: To apply wireless sensor networks to stereoscopic environments such as outer-space and deep oceans, three dimensional localizations are required. Approximate Point in Sphere (APIS) arithmetic based on calculating intersections of spheres was brought forward. Both principles and practice of APIS were discussed. APIS-based algorithm was then simulated with Visual C. Results indicate in the space of 100*100*100 with 55 randomly scattered anchor nodes, locations of 98% of nodes could be calculated. The average errors in relative remain as small as 60%. In conclusion, APIS algorithm is an effective approach to determine the locations of nodes of a sensor network in 3d space.

Key words: Wireless Sensor Network, Three Dimensional Localization, Range-Free Localization Algorithm

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