摘要
在铀尾矿库放射性核素泄露污染WSN监测中,针对凸规划定位精度低的问题,提出一种基于阶次序列的凸规划定位算法。通过划分子区域缩小未知节点几何约束范围,建立各子区域的重心坐标到锚节点的阶次序列表,计算未知节点序列与序列表的相关度,并以最大相关度的子区域重心坐标为定位结果。使该改进算法满足低密度条件的定位并能减少其计算量提高定位精度。经过仿真,新算法较凸规划算法在定位精度上提高了14%。
For the WSN monitoring of radionuclide leakage and pollution in uranium tailings,aiming at the problem about low localization precision of convex programming,a convex programming localization algorithm based on rank sequence was put forward. The geometric constraint range of unknown node was reduced by dividing the subregion,and the rank sequence table of barycentric coordinate in each subregion to anchor node was established. The correlation degree of unknown node sequence and sequence table was calculated,and the barycentric coordinate of the subregion with the largest correlation degree was taken as the localization result. The improved algorithm can satisfy the localization under low density condition,reduce the amount of calculation,and increase the localization precision. Through the simulation,it showed that the localization precision of new algorithm increased by 14% compared with the convex programming algorithm.
出处
《中国安全生产科学技术》
CAS
CSCD
北大核心
2016年第12期86-91,共6页
Journal of Safety Science and Technology
基金
湖南省重点研发项目(2015SK2005)
湖南省教育厅科研重点项目(15A161)
关键词
WSN
凸规划
阶次序列
子区域
监测定位
铀尾矿库
WSN
convex programming
rank sequence
subregion
monitoring and localization
uranium tailings
作者简介
余修武，博士，副教授，硕导。
通讯作者：胡沐芳，硕士研究生。
