崔鸿飞,刘佳,顾晶晶,庄毅.基于局部保持典型相关分析的无线传感器网络三维定位算法[J].计算机科学,2017,44(9):105-109, 130
基于局部保持典型相关分析的无线传感器网络三维定位算法
3D Localization Estimation Algorithm Based on Locality Preserving Canonical Correlation Analysis in Wireless Sensor Networks
投稿时间:2016-08-26  修订日期:2016-12-18
DOI:10.11896/j.issn.1002-137X.2017.09.021
中文关键词:  无线传感器网络,局部保持典型相关分析,三维定位算法,共面度,体积比
英文关键词:Wireless sensor networks,Locality preserving canonical correlation analysis,Three dimensional localization algorithms,Degree of coplanar,Volume ratio
基金项目:本文受国家自然科学基金面上项目(61572253),国家自然科学基金青年科学基金项目(61202351),国家博士后基金项目(2011M500124)资助
作者单位E-mail
崔鸿飞 南京航空航天大学计算机科学与技术学院 南京210016 cuihongfei_nuaa@163.com 
刘佳 南京航空航天大学计算机科学与技术学院 南京210016  
顾晶晶 南京航空航天大学计算机科学与技术学院 南京210016 gujingjing@nuaa.edu.cn 
庄毅 南京航空航天大学计算机科学与技术学院 南京210016  
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中文摘要:
      针对目前无线传感器网络三维空间定位算法精度不高、稳定性差等问题,在基于局部保持典型相关分析LPCCA模型的基础上构造三维定位算法3D-LE-LPCCA。首先,将LPCCA模型拓展到三维空间并建立信号空间和物理空间的映射模型,通过求解映射模型得到未知节点在物理空间上的临近节点集;其次,采用共面度阈值和体积比阈值的约束在临近节点集上计算出最佳定位单元;最后,采用最佳定位单元计算未知节点的坐标。仿真实验表明,该算法具有良好的定位效果,有效地提高了三维定位算法的精度和稳定性,降低了节点能耗。
英文摘要:
      Since existing three dimensional localization algorithms have the drawbacks of low positioning accuracy and poor stability,3D-LE-LPCCA algorithm was put forward.Firstly,locality preserving canonical correlation analysis is extended to three dimensional space and a mapping model between signal space and physical coordinate space is built.After solving the model,the adjacent node which is of unknown nodes in physical coordinate space is obtained.Secondly,our algorithm calculates the best positioning unit in the adjacent node set in constrains of degree of coplanar and vo-lume ratio.Finally,the coordinate of the unknown node is calculated through the best positioning unit.The simulation results show that 3D-LE-LPCCA algorithm has a good localization effect and improves the accuracy and stability of the three-dimensional localization algorithm,and reduces the energy consumption of the node.
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