Skip to main content
SpringerLink
Log in

A Comparison of Modern Localization Techniques in Wireless Sensor Networks (WSNs)

  • Conference paper
  • First Online:
Proceedings of the Future Technologies Conference (FTC) 2018 (FTC 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 881))

Included in the following conference series:

Abstract

Wireless Sensor Networks (WSNs) has acquired a well-known significance in the domain of sensor networks due to the advancement in past decade by the introduction of Internet of Things (IoT). WSNs comprises of sensor and the basic purpose of sensor is to collect, analyze and transmit the information to the target node/sensor. Therefore, it is necessary to identify target area of sensor node. In WSNs, it is achieved through applications of various algorithms and techniques known as localization techniques. These localization approaches help in determining the actual geographical location of sensor nodes. The main focus of this paper is to provide a comparative study of different localization techniques used in WSNs. This paper significantly helps the students, researchers and practitioners in this domain for selecting right localization technique as per the given WSNs requirements.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alrajeh, N., Bashir, M., Shams, B.: Localization techniques in wireless sensor networks. Int. J. Distrib. Sens. Netw. 9, 304628 (2013)

    Article  Google Scholar 

  2. Manzoor, R.: Energy efficient localization in wireless sensor networks using noisy measurements. MS-Thesis (2010)

    Google Scholar 

  3. Khan, M., Beard, C., Sher, M.: Comparison of different localization approaches for wireless sensor actor networks (WSAN). In: International Conference on Computer Communications and Networks (CCN 2010) (2010)

    Google Scholar 

  4. Singh, S.: Localization techniques in wireless sensor networks. Int. J. Comput. Sci. Inf. Technol. 6(1), 844–850 (2015)

    Google Scholar 

  5. Aminian, M.: A hospital healthcare monitoring system using wireless sensor networks. J. Health Med. Inform. 4, 121 (2013)

    Article  Google Scholar 

  6. Li, S., Ding, X., Yang, T.: Analysis of five typical localization algorithms for wireless sensor networks. Wirel. Sens. Netw. 07, 27–33 (2015)

    Article  Google Scholar 

  7. Kim, Y., Jeon, C.: Actor positioning with minimal movement in wireless sensor and actor networks. Int. J. Distrib. Sens. Netw. 11, 135831 (2015)

    Article  Google Scholar 

  8. Pal, A.: Localization algorithms in wireless sensor networks: current approaches and future challenges. Netw. Protoc. Algorithms 2, 45–73 (2010)

    Google Scholar 

  9. Shrivastava, A., Bharti, P.: Localization techniques for wireless sensor networks. Int. J. Comput. Appl. 116, 13–18 (2015)

    Google Scholar 

  10. Hu, F., Cao, X.: Wireless Sensor Networks. CRC Press, Boca Raton (2010)

    Book  Google Scholar 

  11. Su, H., Moh, S.: Comparative performance study of localization schemes in wireless sensor networks. Int. J. Smart Home 8, 95–102 (2014)

    Article  Google Scholar 

  12. Xing, J., Wang, D., Liu, Y.: Distributed range-free localization algorithm for 3D wireless sensor networks under irregular radio propagation model. In: Communications in Computer and Information Science, pp. 299–306 (2011)

    Google Scholar 

  13. Qureshi, S., Ansar, A.: Swarm intelligence based detection of malicious beacon node for secure localization in wireless sensor networks. J. Emerg. Trends Eng. Appl. Sci. 2(4), 664–672 (2011)

    Google Scholar 

  14. Kim, E., Kim, K.: Distance estimation with weighted least squares for mobile beacon-based localization in wireless sensor networks. IEEE Sig. Process. Lett. 17, 559–562 (2010)

    Article  Google Scholar 

  15. Youssef, A., Youssef, M.: A taxonomy of localization schemes for wireless sensor networks. In: ICWN, pp. 444–450 (2007)

    Google Scholar 

  16. Sun, C., Xing, J., Ren, Y., Liu, Y., Sha, J., Sun, J.: Distributed grid-based localization algorithm for mobile wireless sensor networks. In: Lecture Notes in Electrical Engineering, pp. 315–321 (2012)

    Google Scholar 

  17. Shih, C., Marrón, P.: COLA: complexity-reduced trilateration approach for 3D localization in wireless sensor networks. In: 2010 Fourth International Conference on Sensor Technologies and Applications (2010)

    Google Scholar 

  18. Zhang, L.: An efficient range-based localization algorithm for mobile wireless sensor networks. In: 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC) (2016)

    Google Scholar 

  19. Chen, H., Liu, B., Huang, P., Liang, J., Gu, Y.: Mobility-assisted node localization based on TOA measurements without time synchronization in wireless sensor networks. Mob. Netw. Appl. 17, 90–99 (2010)

    Article  Google Scholar 

  20. Singh, S., Sharma, S.: Range free localization techniques in wireless sensor networks: a review. Proc. Comput. Sci. 57, 7–16 (2015)

    Article  Google Scholar 

  21. Stoleru, R., He, T., Stankovic, J.A.: Range free localization. In: Chapter in Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks, vol. 30, pp. 3–31. Springer (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer and Software Engineering, College of E&ME, National University of Sciences and Technology (NUST), H-12, Islamabad, Pakistan

    Maryum Hamdani, Usman Qamar, Wasi Haider Butt, Fatima Khalique & Saad Rehman

Authors
  1. Maryum Hamdani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Usman Qamar
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wasi Haider Butt
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fatima Khalique
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Saad Rehman
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maryum Hamdani .

Editor information

Editors and Affiliations

  1. Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hamdani, M., Qamar, U., Butt, W.H., Khalique, F., Rehman, S. (2019). A Comparison of Modern Localization Techniques in Wireless Sensor Networks (WSNs). In: Arai, K., Bhatia, R., Kapoor, S. (eds) Proceedings of the Future Technologies Conference (FTC) 2018. FTC 2018. Advances in Intelligent Systems and Computing, vol 881. Springer, Cham. https://doi.org/10.1007/978-3-030-02683-7_38

Download citation

Publish with us

Policies and ethics

Search

Navigation