A Novel Approach for Node Localization in Wireless Sensor Networks

  • Abhishek Kumar
  • Deepak Prashar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)


Numerous applications such as Internet of Things and robotics using sensors and wireless sensor networks (WSN) require localization and target tracking for their efficient implementation and functioning. Localization means determining the precise position of nodes within the network. Localization sometimes is also a precondition to other functionalities such as routing, self-organization capability. Various approaches and algorithms have been proposed to solve the localization problem. Most of these techniques involve use of some deployed nodes whose position coordinates are already known to us (using GPS or some other method) called landmarks or anchors. This paper presents a novel connectivity-based mobile localization approach for sensor networks and list of parameters on which a comparative study can be done.


WSN Anchors Range-based Range-free Mobility Localization algorithms 


  1. 1.
    N. Patwari, A. O. Hero, M. Perkins, N. S. Correal, and R. J. ODea. Relative Location Estimation inWireless Sensor Networks. IEEE Transactions on Signal Processing, Vol. 51, No. 8, August 2003.Google Scholar
  2. 2.
    J. Hightower, G. Boriello, and R.Want. SpotON: An Indoor 3D Location Sensing Technology Based on RF Signal Strength. Technical Report 2000-02-02, University of Washington, February 2000.Google Scholar
  3. 3.
    D. Niculescu and B. Nath. Ad Hoc Positioning Systems (APS). In Proceedings of IEEE GLOBECOM ’01, November 2001.Google Scholar
  4. 4.
    B. H. Wellenhoff, H. Lichtenegger and J. Collins.” Global Positions System: Theory and Practice”. Fourth Edition. Springer Verlag, 1997.Google Scholar
  5. 5.
    Spread Spectrum Scene. “An introduction to indoor radio propagation”. http//, June 2001.Google Scholar
  6. 6.
    Linquing GUI, “Improvement of Range free Localization Systems in Wireless Sensor Networks”, Ph.D. thesis, University of Toulouse, 2013.Google Scholar
  7. 7.
    Räomer, K. “The lighthouse location system for smart dust”. ACM/USENIX International Conference on Mobile Systems, Applications, and Services (MobiSys)”, 2003.Google Scholar
  8. 8.
    Niculescu, D., & Nath, B. (2003). DV based positioning in ad hoc networks. Journal of Telecommunication Systems, 22(14), 267–280.Google Scholar
  9. 9.
    Liu, K., Wang, S., & Zhang, F. (2005). Efficient localized localization algorithm for wireless sensor networks. In Proc. 5th international conference on computer and information technology (pp. 21–23).Google Scholar
  10. 10.
    Shu, J., Liu, L., & Chen, Y. (2009). A novel three-dimensional localization algorithm in wireless sensor networks, wireless communications, networking and mobile computing. In Proc. 5th international conference on wireless communications (pp. 24–29).Google Scholar
  11. 11.
    Liu, Y. (2008). Distributed mobile localization algorithms of WSN. Master’s thesis, Hunan Technology University, pp. 32–35.Google Scholar
  12. 12.
    Baggio, A., & Langendoen, K. (2008). Monte Carlo localization for mobile wireless sensor networks. Ad Hoc Networks, 6(5), 718–733.Google Scholar
  13. 13.
    Y. Hu and X. Li, “An improvement of DV-Hop localization algorithm for wireless sensor networks,” Telecommun. Syst., vol. 53, no. 1, pp. 13–18, 2013.Google Scholar
  14. 14.
    Xiaoying Yang, Wanli Zhang, “An Improved DV-Hop Localization Algorithm Based on Hop Distance and Hops Correction”, International Journal of Multimedia and Ubiquitous Engineering Vol. 11, No. 6 (2016), pp. 319–328.Google Scholar
  15. 15.
    Chen, H. (2008). Novel centroid localization algorithm for three dimensional wireless sensor networks. In Proc. of the 4th international conference on IEEE wireless communications (pp. 1–4).Google Scholar
  16. 16.
    Lazos, L., & Poovendran, R. (2006). HiRLoc: high-resolution robust localization for wireless sensor networks. IEEE Journal on Selected Areas in Communications, 24(2), 233–246.Google Scholar
  17. 17.
    Lv, L., Cao, Y., Gao, X., & Luo, H. (2006). Three dimensional localization schemes based on sphere intersections in wireless sensor network (pp. 48–51). Beijing: Beijing Posts and Telecommunications University.Google Scholar
  18. 18.
    Wang, J., Huang, L., & Xu, H. (2008). A novel range free localization scheme based on Voronoi diagrams in wireless sensor networks. Journal of Computer Research and Development 45(1), 119–125.Google Scholar
  19. 19.
    Luo, R. C., Chen, O., & Pan, S. H. (2005). Mobile user localization in wireless network using grey prediction method. In The 32nd annual conference of IEEE industrial electronics society (pp. 2680–2685).Google Scholar
  20. 20.
    Hao, Y. (2006). Target localization and track based on the energy source. Master’s thesis, Fudan University.Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of Computer Science EngineeringLovely Professional UniversityJalandharIndia

Personalised recommendations