A Review on Localization in Wireless Sensor Networks

  • Jeril Kuriakose
  • Sandeep Joshi
  • R. Vikram Raju
  • Aravind Kilaru
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 264)


Localization is extensively used in Wireless Sensor Networks (WSNs) to identify the current location of the sensor nodes. A WSN consist of thousands of nodes that make the installation of GPS on each sensor node expensive and moreover GPS will not provide exact localization results in an indoor environment. Manually configuring location reference on each sensor node is also not possible in the case of dense network. This gives rise to a problem where the sensor nodes must identify its current location without using any special hardware like GPS and without the help of manual configuration. Localization techniques makes the deployment of WSNs economical. Most of the localization techniques are carried out with the help of anchor node or beacon node, which knows its present location. Based on the location information provided by the anchor node or beacon node, other nodes localize themselves. In this paper we present a succinct survey on the localization techniques used in wireless sensor networks covering its problems and research gap.


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  1. 1.
    Camp, T., Boleng, J., et al.: Performance Comparison of Two Location Based Routing Protocols for Ad Hoc Networks. IEEE Infocom. (2002)Google Scholar
  2. 2.
    Blazevic, L., Boudec, J.-Y.L., Giordano, S.: A Location-Based Routing Method for Mobile Ad Hoc Networks. IEEE Transactions on Mobile Computing (2005)Google Scholar
  3. 3.
    Fubler, H., Mauve, M., et al.: Location Based Routing for Vehicular AdHoc Networks. In: Proceedings of ACM MOBICOM (2002)Google Scholar
  4. 4.
    Qu, H., Wicke, S.B.: Co-designed anchor-free localization and location-based routing algorithm for rapidly-deployed wireless sensor networks. Information Fusion (2008)Google Scholar
  5. 5.
    Kuhn, F., et al.: Worst-case optimal and average-case efficient geometric ad-hoc routing. In: Proc. of the 4th ACM International Symposium on Mobile Ad Hoc Networking & Computing (2003)Google Scholar
  6. 6.
    El Defrawy, K., Tsudik, G.: Alarm: Anonymous location aided routing in suspicious Manets. In: IEEE International Conference on Network Protocols, pp. 304–313 (2007)Google Scholar
  7. 7.
    Ko, Y.-B., Vaidya, N.H.: Location-Aided Routing (LAR) in mobile ad hoc networks. Wireless Networks (2000)Google Scholar
  8. 8.
    Whitehouse, H.J., Leese de Escobar, A.M., et al.: A GPS Sonobuoy Localization System. In: Position Location and Navigation Symposium (2004)Google Scholar
  9. 9.
    Lita, I., et al.: A New Approach of Automobile Localization System Using GPS and GSM/GPRS Transmission. International Spring Seminar on Electronics Technology (2006)Google Scholar
  10. 10.
    Stoleru, R., et al.: Walking GPS: A Practical Solution for Localization in Manually Deployed Wireless Sensor Networks. In: IEEE International Conference on Local Computer Networks (2004)Google Scholar
  11. 11.
    Stefano, P., Pascucci, F., Ulivi, G.: An outdoor navigation system using GPS and inertial platform. In: IEEE/ASME Transactions on Mechatronics (2002)Google Scholar
  12. 12.
    Parkinson, B., et al.: Global Positioning System: Theory and Application. Progress in Astronautics and Aeronautics, vol. I (1996)Google Scholar
  13. 13.
    Priyantha, N., Chakraborty, A., Balakrishnan, H.: The Cricket Location-Support System. In: Proc. ACM MobiCom. (2000)Google Scholar
  14. 14.
    Peng, R., Sichitiu, M.L.: Angle of Arrival Localization for Wireless Sensor Networks. In: Third Annual IEEE Comm. Society Conference on Sensor and Ad Hoc Comm. and Networks (2006)Google Scholar
  15. 15.
    Niculescu, D., Nath, B.: Ad hoc positioning system (APS) using AOA. In: IEEE INFOCOM (2003)Google Scholar
  16. 16.
    Nasipuri, A., Li, K.: A directionality based location discovery scheme for wireless sensor networks. In: ACM International Workshop on Wireless Sensor Networks and Applications (2002)Google Scholar
  17. 17.
    Mao, G., Anderson, B.D.O., Fidan, B.: Path Loss Exponent Estimation for Wireless Sensor Network Localization. Computer Networks (2007)Google Scholar
  18. 18.
    Moses, R., Krishnamurthy, D., Patterson, R.: A Self-Localization Method for Wireless Sensor Networks. In: Eurasip J. Applied Signal Processing, Special Issue on Sensor Networks (2003)Google Scholar
  19. 19.
    Sarigiannidis, G.: Localization for Ad Hoc Wireless Sensor Networks. M.S. thesis, Technical University Delft, The Netherlands (2006)Google Scholar
  20. 20.
    Xiao, J., Ren, L., Tan, J.: Research of TDOA Based Self-Localization Approach in Wireless Sensor Network. In: Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (2006)Google Scholar
  21. 21.
    Stoleru, R., Stankovic, J.: Probability grid: A location estimation scheme for wireless sensor networks. In: Proceedings of Sensor and Ad-Hoc Comm. and Networks Conference (SECON) (2004)Google Scholar
  22. 22.
    Niculescu, D., Nath, B.: Ad hoc positioning system (APS). In: Proceedings of the IEEE Global Telecommunications Conference (2001)Google Scholar
  23. 23.
    Chestnut, P.C.: Emitter location accuracy using TDOA and differential Doppler. IEEE Transactions in Aerospace and Electronic System (1982)Google Scholar
  24. 24.
    Fang, Z., Zhao, Z., et al.: Localization in Wireless Sensor Networks with Known Coordinate Database. EURASIP Journal on Wireless Communications and Networking (2010)Google Scholar
  25. 25.
    Suresh, P., et al.: Mobile Information Retrieval using Topic-Sensitive PageRank and Page Freshness. International Journal of Advanced Research in Computer and Communication Engineering (2013)Google Scholar
  26. 26.
    Suresh, P., Shekeela, N., et al.: Detection and Elimination of Malicious Beacon Nodes in Broadband Based Wireless Networks. International Journal of Advanced and Innovative Research (2013)Google Scholar
  27. 27.
    Shivprasad, B.J., Amruth, V., et al.: Feature Level Image Fusion. In: Elsevier/Emerging Research in Computing, Information, Communication and Applications, ERCICA 2013 (2013)Google Scholar
  28. 28.
    Doherty, L., Pister, K., Ghaoui, L.: Convex Position Estimation in Wireless Sensor Networks. In: Proceedings of the IEEE Computer and Communication Societies (INFOCOM 2001) (2001)Google Scholar
  29. 29.
    Manolakis, D.: Efficient Solution and Performance Analysis of 3-D Position Estimation by Trilateration. IEEE Transactions on Aerospace and Electronic Systems (1996)Google Scholar
  30. 30.
    Patwari, N., et al.: Using Proximity and Quantized RSS for Sensor Location in Wireless Location in Wireless Networks. In: Proceedings Workshop Wireless Sensor Networks and Applications (2003)Google Scholar
  31. 31.
    Bal, M., Liu, M., Shen, W., Ghenniwa, H.: Localization in cooperative Wireless Sensor Networks: A review. In: 13th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2009 (2009)Google Scholar
  32. 32.

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jeril Kuriakose
    • 1
  • Sandeep Joshi
    • 1
  • R. Vikram Raju
    • 1
  • Aravind Kilaru
    • 1
  1. 1.School of Computing and Information Technology (SCIT)Manipal University JaipurJaipurIndia

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