| 铀尾矿库放射性污染无线传感器网络监测改进型加权质心定位算法 |
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| 引用本文： | 余修武,周利兴,刘永,夏凡,肖人榕,陈潮. 铀尾矿库放射性污染无线传感器网络监测改进型加权质心定位算法[J]. 南华大学学报(自然科学版), 2017, 31(4): 59-63 |
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| 作者姓名： | 余修武 周利兴 刘永 夏凡 肖人榕 陈潮 |
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| 作者单位： | 南华大学 环境与安全工程学院,湖南 衡阳 421001;湖南省铀尾矿库退役治理技术工程技术研究中心,湖南 衡阳 421001,南华大学 环境与安全工程学院,湖南 衡阳 421001;湖南省铀尾矿库退役治理技术工程技术研究中心,湖南 衡阳 421001,南华大学 环境与安全工程学院,湖南 衡阳 421001;湖南省铀尾矿库退役治理技术工程技术研究中心,湖南 衡阳 421001,南华大学 环境与安全工程学院,湖南 衡阳 421001,南华大学 环境与安全工程学院,湖南 衡阳 421001,南华大学 环境与安全工程学院,湖南 衡阳 421001 |
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| 基金项目： | 湖南省重点研发项目(2015SK2005);湖南省教育厅科研重点项目(15A161);国家级大学生创新创业训练计划项目(201710555004);湖南省研究生科研创新项目(CX2016B453) |
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| 摘 要： | 针对传统铀尾矿库放射性污染监测定位线路布设成本高、不易扩展等问题,结合带状铀尾矿库坝体环境特点,提出一种改进型加权质心算法(ACA).通过改进权值选择机制,克服了远距离定位误差偏大的缺点,提高了监测定位精度.仿真研究表明:相比极大似然估计法(MLE)加权质心(CA)两种算法,ACA算法平均定位误差分别降低了40.0%和19.5%,最大定位误差分别减少了约1/4和1/6,定位的可靠性和稳定性较高,可满足铀尾矿库放射性污染监测定位要求.
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| 关 键 词： | WSN 加权质心算法 铀尾矿库 监测定位 |
| 收稿时间： | 2017-11-09 |
An Advanced Weighted Centroid Localization Algorithmin of UraniumTailings Radioactive Pollution WSN Monitoring |
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| YU Xiu-wu,ZHOU Li-xing,LIU Yong,XIA Fan,XIAO Ren-rong and CHEN Chao. An Advanced Weighted Centroid Localization Algorithmin of UraniumTailings Radioactive Pollution WSN Monitoring[J]. Journal of Nanhua University(Science and Technology), 2017, 31(4): 59-63 |
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| Authors: | YU Xiu-wu ZHOU Li-xing LIU Yong XIA Fan XIAO Ren-rong CHEN Chao |
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| Affiliation: | School of Environment and Safety Engineering University of South China,,Hengyang,Hunan 421001,China;Hunan Engineering Research Center for Uranium Tailings Decommission and Treatment,Hengyang,Hunan 421001,China,School of Environment and Safety Engineering University of South China,,Hengyang,Hunan 421001,China;Hunan Engineering Research Center for Uranium Tailings Decommission and Treatment,Hengyang,Hunan 421001,China,School of Environment and Safety Engineering University of South China,,Hengyang,Hunan 421001,China;Hunan Engineering Research Center for Uranium Tailings Decommission and Treatment,Hengyang,Hunan 421001,China,School of Environment and Safety Engineering University of South China,,Hengyang,Hunan 421001,China,School of Environment and Safety Engineering University of South China,,Hengyang,Hunan 421001,China and School of Environment and Safety Engineering University of South China,,Hengyang,Hunan 421001,China |
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| Abstract: | Aiming at the high cost of line layout and poor maintenance in traditional radioactive pollution monitoring in uranium tailings,combined with the environmental characteristics of banded dam,an advanced weighted centroid localization algorithm(ACA)is proposed.The method of weight selection in the new algorithm is improved to reduce the localization error caused by great distance and raise accuracy.Result of simulation demonstrates that average positioning error of ACA is reduced by 40.0% compared to MLE and by 19.5% compared to CA,and maximum location error of ACA is reduced by 1/4 compared to MLE and by 1/6 compared to CA.With high reliability and stability,ACA can meet the requirements of position in radioactive pollution monitoring in uranium tailings. |
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