| 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.[YU Xiu-wu,ZHOU Li-xing,LIU Yong,XIA Fan,XIAO Ren-rong,CHEN Chao.An Advanced Weighted Centroid Localization Algorithmin of UraniumTailings Radioactive Pollution WSN Monitoring[J].Journal of University of South China(Science and Technology),2017,31(4):59~63.] |
| 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 |
| An Advanced Weighted Centroid Localization Algorithmin of UraniumTailings Radioactive Pollution WSN Monitoring |
| 投稿时间：2017-11-09 |
| DOI： |
| 中文关键词: WSN 加权质心算法 铀尾矿库 监测定位 |
| 英文关键词:WSN weighted centroid localization algorithm uranium tailings monitoring localization |
| 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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| 中文摘要: |
| 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. |
| 英文摘要: |
| 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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