Location System Design Based on Weighted RSSI for High-Speed Railway Landslide Monitoring

  • Bo YangEmail author
  • Yongqiang Zhang
  • Jifu Yu
  • Xingxia Wang
  • Xinchun Jia
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 699)


There exist such problems as high cost, difficult construction and low automation degree of existing landslide monitoring system. To treat these problems, a high-speed railway landslide monitoring system based on Zigbee wireless network technology is designed. In this system, high-speed railway landslide information is obtained by wireless sensor network location technology. Its monitoring data is transmitted by rail side room to remote monitoring center. According to the characteristics of the landslide, location coordinate system is improved. Plan of the system structure and program based on weighted Received Signal Strength Indicator (RSSI) location algorithm is introduced. The simulation experimental results show that the monitoring system can monitor effectively high-speed railway landslide.


Landslide monitoring Wireless sensor network (WSN) Zigbee Received Signal Strength Indicator (RSSI) Location algorithm 



This work is supported by National Nature Science Foundation under Grant 61374059; Student Scientific Training Program in Shanxi Province.


  1. 1.
    Hang, D.W., Zhang, P.Z., Wu, C.Q., et al.: The landslide monitoring research and the latest progress. Sens. World 11(6), 10–14 (2005)Google Scholar
  2. 2.
    Wang, L., Zhang, Q., Guan, J.N.: Based on the technology of GPS landslide dynamic deformation monitoring of the experimental results and analysis. Wuhan Univ. New Pap.: Inf. Sci. Ed. 36(4), 422–425 (2011)Google Scholar
  3. 3.
    Nichol, J.E., Shaker, A., Wong, M.-S.: Application of high-resolution stereo satellite image to detailed land a slide hazard assessment. Geomorphology 76(1/2), 68–75 (2006)CrossRefGoogle Scholar
  4. 4.
    Girod, L., Byehovskiy, V., Elson, J., et al.: Locating tiny sensors in time and space: a case study. In: Proceedings of the 2002 IEEE International Conference on Computer Design: VLSI in Computers and Processors, pp. 214–219. IEEE Computer Society, Freiburg (2002)Google Scholar
  5. 5.
    Harter, A., Hopper, A., Steggles, P., et al.: The anatomy of a context-aware application. In: Proceedings of the 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking, pp. 59–68. ACM Press, Seattle (1999)Google Scholar
  6. 6.
    Nieulescu, D., Nath, B.: Ad hoc positioning system (APS) using AOA. In: Proceedings of the IEEE INFOCOM, pp. 1734–1743. IEEE Computer and Communications Societies, San Francisco (2003)Google Scholar
  7. 7.
    Girod, L., Estrin, D.: Robust range estimation using acoustic and multimodal sensing. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2001), pp. 1312–1320. IEEE Robotics and Automation Society, Maui (2001)Google Scholar
  8. 8.
    Bulusu, N., Heidemann, J., Estrin, D.: GPS-less low cost outdoor localization for very small devices. IEEE Pers. Commun. Mag. 7(5), 28–34 (2000)CrossRefGoogle Scholar
  9. 9.
    Nieuleseu, D., Nath, B.: DV based positioning in ad hoc networks. J. Telecommun. Syst. 22(1–4), 267–280 (2003)Google Scholar
  10. 10.
    He, T., Huang, C., Blum, B., Stankovic, J., Abdelzaher, T.: Range free localization schemes for large scale sensor networks. In: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking (MOBICOM), pp. 220–224. ACM, New York (2003)Google Scholar
  11. 11.
    Zhan, J., Liu, H.L., Liu, S.G.: Dynamic weighted localization algorithm research based on RSSI. Electron. J. 39(1), 82–88 (2011)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Bo Yang
    • 1
    Email author
  • Yongqiang Zhang
    • 1
  • Jifu Yu
    • 1
  • Xingxia Wang
    • 1
  • Xinchun Jia
    • 1
  1. 1.School of Mathematical SciencesShanxi UniversityTaiyuanChina

Personalised recommendations