期刊文献+

无线传感器网络节点三维定位的翻转模糊检测 被引量:11

Flip Ambiguity Detection for Three-Dimensional Node Localization in Wireless Sensor Networks
下载PDF
导出
摘要 为了解决基于测距的无线传感器网络节点三维定位中可能会发生翻转模糊的问题,本文提出并证明了节点三维定位的翻转模糊检测问题,可以等价为判断是否存在一个平面和所有参考节点的测距误差球都相交的问题(Existence of Intersecting Plane,EIP).为了求解EIP问题,本文进一步提出了公切面法(Common Tangent Plane,CTP)和正交投影法(Orthogonal Projection,OP)两种求解方法.CTP方法采用的是边界检测原理,OP方法则将EIP问题转化为一个角度计算问题,并用坐标变换的方式来求解.经过理论分析和大量的仿真证明,CTP方法虽然具有较好的检测效果,但是计算复杂度太大;而OP方法在几乎获得与CTP方法相同的检测结果的情况下,能够大大降低求解EIP问题的计算复杂度. To detect flip ambiguity for range-based three-dimensional node localization in wireless sensor networks,we have proposed and proved that flip ambiguity detection for three-dimensional node localization is equal to whether there is a plane intersecting with all range error spheres of the reference nodes,which is called the existence of intersecting plane( EIP) problem. To solve EIP problem,we further have proposed two solving algorithms: common tangent plane algorithm( CTP) and orthogonal projection algorithm( OP). CTP adopts the principle of boundary detection,while OP transforms EIP problem into an angle calculation problem and adopts a coordinate transformation method to solve the problem. The simulation experiments demonstrate that CTP has good detection results,but its computational complexity is too high; however,OP has almost the same detection results as CTP and has lower computational complexity.
出处 《电子学报》 EI CAS CSCD 北大核心 2016年第2期374-384,共11页 Acta Electronica Sinica
基金 国家自然科学基金(No.81371635) 高等学校博士学科点专项科研基金(No.20120131110062) 山东省科技发展计划项目(No.2013GGX10104)
关键词 无线传感器网络 节点三维定位 翻转模糊 公切面 正交投影 wireless sensor networks three-dimensional node localization flip ambiguity common tangent plane orthogonal projection
  • 相关文献

参考文献29

  • 1H J Shao,X P Zhang,et al.Efficient closed-form algorithms for AOA based self-localization of sensor nodes using auxiliary variables[J].IEEE Transactions on Signal Processing,2014,62(10):2580-2594.
  • 2J A Jiang,X Y Zheng,et al.A distributed RSS-based localization using a dynamic circle expanding mechanism[J].IEEE Sensors Journal,2013,13(10):3754-3766.
  • 3N Deshpande,E Grant,et al.Target Localization and autonomous navigation using wireless sensor networks-a pseudogradient algorithm approach[J].IEEE Systems Journal,2014,8(1):93-103.
  • 4Y Z Chai,E Q Dong.A three-dimensional localization algorithm for wireless sensor networks based on the BFGS optimization.Proceedings of the 17th European Wireless Conference[C].Vienna:VDE,2011.676-680.
  • 5E Q Dong,Y Z Chai,et al.A novel three-dimensional localization algorithm for Wireless Sensor Networks based on Particle Swarm Optimization.Proceedings of the 18th International Conference on Telecommunications[C].Ayia Napa:IEEE,2011.55-60.
  • 6N Salman,M Ghogho,et al.Optimized low complexity sensor node positioning in wireless sensor networks[J].IEEE Sensors Journal,2014,14(1):39-46.
  • 7T Eren,O K Goldenberg,et al.Rigidity,computation,and randomization in network localization.Proceedings of the 23rd Annual Joint Conference of the IEEE Computer and Communications Societies[C].Hong Kong:IEEE,2004.2673-2684.
  • 8J Aspnes,T Eren,et al.A theory of network localization[J].IEEE Transactions on Mobile Computing,2006,5(12):1663-1678.
  • 9R Connelly.Generic global rigidity[J].Discrete and Computational Geometry,2005,33(4):549-563.
  • 10A Kannan,B Fidan,et al.Use of flip ambiguity probabilities in robust sensor network localization[J].Wireless Networks,2011,17(5):1157-1171.

同被引文献121

引证文献11

二级引证文献50

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