|本期目录/Table of Contents|

[1]余修武,范飞生,夏凡,等.铀尾矿库WSN安全监控镜像约束域定位算法[J].中国安全生产科学技术,2017,13(11):90-96.[doi:10.11731/j.issn.1673-193x.2017.11.015]
 YU Xiuwu,FAN Feisheng,XIA Fan,et al.Constraint region location algorithm of WSN safety monitoring image in uranium tailings[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2017,13(11):90-96.[doi:10.11731/j.issn.1673-193x.2017.11.015]
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铀尾矿库WSN安全监控镜像约束域定位算法
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
13
期数:
2017年11期
页码:
90-96
栏目:
职业安全卫生管理与技术
出版日期:
2017-11-30

文章信息/Info

Title:
Constraint region location algorithm of WSN safety monitoring image in uranium tailings
文章编号:
1673-193X(2017)-11-0090-07
作者:
余修武123范飞生12夏凡1周利兴123刘永123李向阳123张枫123
(1.南华大学 环境与安全工程学院,湖南 衡阳 421001; 2.金属矿山安全与健康国家重点实验室,安徽 马鞍山 243000;3.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)
Author(s):
YU Xiuwu123FAN Feisheng12XIA Fan1ZHOU Lixing123 LIU Yong123LI Xiangyang123ZHANG Feng123
(1. School of Environment and Safety Engineering, University of South China, Hengyang Hunan 421001, China; 2. State Key Laboratory of Safety and Health for Metal Mines, Maanshan Anhui 243000, China; 3. Hunan Engineering Technology Research Center for Uranium Tailings Decommission and Treatment, Hengyang Hunan 421001, China)
关键词:
无线传感器网络铀尾矿库RSSI测距定位技术镜像原理最小通信圆
Keywords:
wireless sensor network (WSN) uranium tailings received signal strength indicator (RSSI) ranging positioning technology image theory minimum communication circle
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2017.11.015
文献标志码:
A
摘要:
铀尾矿库的WSN安全监控监测技术是一门新型领域技术,是实现铀尾矿库安全综合治理的重要前提,定位技术因其能够快速定位事件发生区域的地理位置而成为WSN的关键技术之一。RSSI测距定位技术因其易于实现、成本低等特点而被广泛应用,然而其在铀尾矿库中会受到多径、非视距等因素的影响,远距离得到的RSSI值测距误差较大。为此,提出一种镜像最小通信圆约束域定位算法,未知节点利用多个近距离RSSI测距值生成最小通信圆,以锚节点坐标镜像最小通信圆生成镜像圆,多条件约束形成定位区域进行区域定位。仿真结果表明:多最小通信圆定位效果优于单最小通信圆,且比传统RSSI和RSSI质心算法具有更高的定位精度和较小的误差均方差。
Abstract:
The wireless sensor network (WSN) safety monitoring technology of the uranium tailings is a new field technology, which is an important guarantee for the safety comprehensive management of the uranium tailings, and the location technology is one of the key technologies of WSN because of its ability to quickly locate the location of the event occurrence region. The received signal strength indicator (RSSI) ranging localization technology has been widely used because it is easy to implement with a low cost, however, it can be influenced by the factors such as multipath, non-line-of-sight and other factors in the uranium tailings, so the error of RSSI ranging in the long-distance is large. Therefore, a image minimum communication circle constraint region location algorithm (IMC-CC) was put forward. The unknown node generated the minimum communication circle using multiple close RSSI ranging values, then the image circle was generated by the minimum communication circle of the anchor node coordinate image, and the region localization was carried out by forming the localization region with the multi-condition constraint. The simulation results showed that the localization effect of multiple minimum communication circles was better than that of single minimum communication circle, and compared with the traditional RSSI and RSSI centroid algorithms, the localization accuracy was higher, with a smaller error mean square deviation.

参考文献/References:

[1]Xie Q, Fan X R, He Q, et al. Location Model and Algorithm of Construction Waste Recycling Centers for Service Reliability[J]. Journal of Intelligent Systems, 2014, 24(2):287-297.
[2]Jia K, Meng L I, Tian Shu B I, et al. A voltage resonance-based single-ended online fault location algorithm for DC distribution networks[J]. Science China(Technological Sciences), 2016, 59(5):721-729.
[3]KIM W, PARK J, KIM H J, et al. A multi-class classification approach for target localization in wireless sensor networks[J]. Journal of Mechanical Science and Technology, 2014, 28(1): 323-329.
[4]BABAIE-KAFAKI S, GHANBARI R, MAHDAVI-AMIRI N. Hybridizations of genetic algorithms and neighborhood search metaheuristics for fuzzy bus terminal location problems[J]. Applied Soft Computing, 2016, 46(46): 220-229.
[5]MARIAPUSHPAM I T, RAJAGOPAL S. Improved algorithm for the location of CPG islands in genomic sequences using discrete wavelet transforms[J]. Current Bioinformatics, 2017, 12(1): 57-65.
[6]余修武,周利兴,范飞生,等.基于新内点测试与Grid-SCAN的铀尾矿库监测定位算法[J].中国安全生产科学技术,2016,12(5):5-9. YU Xiuwu,ZHOU Lixing,FAN Feisheng,et al.A localization algorithm for uranium tailings monitoring based on new interior point test and Grid-SCAN[J].Journal of Safety Science and Technology,2016,12(5):5-9.
[7]ZHANG Li-ping, LIM C C, CHEN Yi-ping, et al. Tracking Mobile robot in indoor wireless sensor networks[J]. Mathematical Problems in Engineering, 2014(5): 1-8.
[8]Yiu S, Dashti M, Claussen H, et al. Wireless RSSI fingerprinting localization[J]. Signal Processing, 2016, 131:235-244.
[9]AWANG A, AGARWAL S. Data aggregation using dynamic selection of aggregation points based on RSSI for wireless sensor networks[J]. Wireless Personal Communications, 2015, 80(2): 611-633.
[10]Li X, Chen L, Wang J, et al. A Novel Method to Improve the Accuracy of the RSSI Techniques Based on RSSI-D[J]. Journal of Networks, 2014, 9(12) :3400-3406.
[11]Feng W J, Bi X W, Jiang R. A Novel Adaptive Cooperative Location Algorithm for Wireless Sensor Networks[J]. International Journal of Automation and Computing, 2012, 09(5):539-544.
[12]Xu J, Liu W, Lang F, et al. Distance Measurement Model Based on RSSI in WSN[J]. Wireless Sensor Network, 2010, 2(8):606-611.
[13]罗炬锋,邱云周,付耀先,等.研究片内多径分离技术在基于RSSI定位中的应用[J].电子与信息学报,2011,33(4):891-895. LUO Jufeng,QIU Yunzhou,FU Yaoxian,et al.Research on separation of subchip multipath components for RSSI-bashed location application[J].Journal of Electronics&Information Technology,2011,33(4):891-895.
[14]韩东升,杨维,刘洋,等.煤矿井下基于RSSI的加权质心定位算法[J].煤炭学报,2013,38(3):522-528. HAN Dongsheng,YANG Wei,LIU Yang,et al. A weighted centroid localization algorithm based on received signal strength indicator for underground coal mine[J].Journal of China Coal Society,2013,38(3):522-528.
[15]Caulkins C G. Bridge over troubled discourse: the influence of the Golden Gate Bridge on community discourse and suicide[J]. Journal of Aggression, 2015, 7(1):47-56.
[16]Guo G, Wang N, Zhang K. Distance difference algorithm based on rssi for highway vehicle localization[J]. Sensors & Transducers (1726-5479), 2014,169(4):170-173.

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备注/Memo

备注/Memo:
金属矿山安全与健康国家重点实验室开放基金项目(2016JSKSSYS04);湖南省重点研发项目(2015SK2005);湖南省教育厅科研重点项目(15A161);南华大学环境保护与安全工程学院研究生创新项目(2017YCXXM08);国家级大学生创新创业训练计划项目(201710555004);湖南省大学生研究性学习和创新性实验计划项目(2017-320)
更新日期/Last Update: 2018-01-02