Concerning the problem that severe signal multipath effect, low accuracy of sensor node positioning, etc. in narrow space, a new method using Weighted Centroid Localization (WCL) algorithm based on Received Signal Strength Indicator (RSSI) was proposed. The algorithm was used in scenarios with characteristics of long and narrow strip space, and it could dynamically acquire the decline index of path by RSSI and distance of neighbor beacon node signal, improve the environmental adaptation of RSSI distance detection algorithm. In addition, the algorithm based on environment improved weight coefficient of weighted centroid algorithm by introducing correction factor, which improved the accuracy of localization. Theoretical analysis and simulation results show that the algorithm has been optimized to adapt to narrow space. As compared with the Weighted Centroid Localization (WCL) algorithm, in roadway environment with the width of 3 m, 5 m, 8 m, 10 m respectively and 10 beacon nodes, positioning precision increases 22.1%, 19.2%, 16.1% and 16.5% respectively, the stability increases 23.4%, 21.5%, 18.1% and 15.4% respectively.
[1] WANG Y. A research on the localization technology of wireless sensor networks[D]. Hefei: University of Science and Technology of China, 2007. (汪炀. 无线传感器网络定位技术研究[D]. 合肥:中国科学技术大学, 2007.) [2] SUN J. Research on characteristics and key technology in coalmine Internet of things[J]. Journal of China Coal Society, 2011, 36(1):167-171. (孙继平. 煤矿物联网特点与关键技术研究[J]. 煤炭学报, 2011, 36(1):167-171.) [3] WU X, WANG P, WEN L, et al. Research of new underground wireless communication system[J]. Industry and Mine Automation, 2013, 39(8): 22-25.(武先利, 王鹏, 温良, 等. 一种新型煤矿井下无线通信系统研究[J]. 工矿自动化, 2013, 39(8): 22-25.) [4] ZHU X, WANG J, MENG X. 3D localization algorithm for wireless sensor networks in underground coal mine[J]. Journal of Computer Applications, 2012, 32(4):927-931. (朱晓娟, 王军号, 孟祥瑞. 煤矿井下无线传感器网络节点三维定位算法[J]. 计算机应用, 2012, 32(4):927-931.) [5] QIAO G, ZENG J. Localization algorithm of beacon nodes chain deployment based on coal mine undergroup wireless sensor networks[J]. Journal of China Coal Society, 2010, 35(7):1229-1233.(乔钢柱, 曾建潮. 信标节点链式部署的井下无线传感器网络定位算法[J]. 煤炭学报,2010, 35(7):1229-1233.) [6] WANG F, SHI L, REN F. Self-localization systems and algorithms for wireless sensor networks[J]. Journal of Software, 2005, 16(5):857-868.(王福豹, 史龙, 任丰原. 无线传感器网络中的自身定位系统和算法[J]. 软件学报, 2005, 16(5):857-868.) [7] HE T, HUANG C, BLUM B M, et al. Range-free localization schemes for large scale sensor networks[C]// Proceedings of the 9th Annual International Conference on Mobile Computing and Networking. New York: ACM, 2003: 81-95. [8] BULUSU N, HEIDEMANN J, ESTRIN D. GPS-less low cost outdoor localization for very small devices[J]. IEEE Personal Communications, 2000, 7(5):28-34. [9] NICULESCU D, NATH B. Ad Hoc Positioning System (APS)[C]// GLOBECOM'01: Proceedings of the 2001 IEEE Global Telecommunications Conference. Piscataway: IEEE, 2001, 5:2926-2931. [10] ZHAO L, HONG Z. Improved DV-Hop localization algorithm based on wireless sensor networks[J]. Journal of Computer Applications, 2011, 31(5):1189-1192. (赵灵锴, 洪志全. 基于无线传感器网络的DV-Hop定位算法的改进[J]. 计算机应用, 2011, 31(5):1189-1192.) [11] ZHANG Z, XU X, YAN L. Undergroud localization algorithm of wireless sensor network based on Zigbee[J]. Journal of China Coal Society, 2009, 34(1):125-128. (张治斌, 徐小玲, 阎连龙. 基于Zigbee井下无线传感器网络的定位方法[J]. 煤炭学报, 2009, 34(1):125-128.) [12] FANG Z, ZHAO Z, GUO P, et al. Analysis of distance measurement based on RSSI[J]. Chinese Journal of Sensors and Actuators, 2007, 20(11):2526-2530.(方震, 赵湛, 郭鹏, 等. 基于RSSI测距分析[J]. 传感技术学报, 2007, 20(11):2526-2530.)
2015, Vol. 35 
