Skip to main content
SpringerLink
Log in

Real-time localization in wireless sensor network with multimedia applications

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Node localization is one of the most important supporting technologies in wireless sensor networks. In the practical application, the wireless sensor network nodes need to be positioned in real time, in order to monitor their location. This paper presents an accurate and real-time localization method based on historical data analysis (HDA-RTL). We analyze the behavior characteristics of the node’s historical position coordinates, and, according to the different analysis results, propose two positioning methods: real-time localization based on neighbor node location analysis and real-time positioning based on mobile anchor node. Then, we do the analysis through the simulation experiment. The simulation results show that the proposed method has significant advantages in positioning accuracy, success rate and power consumption.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Akyildiz IF, Vuran MC (2010) Wireless sensor networks(Vol. 4). Wiley, Hoboken

    Book  Google Scholar 

  2. Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E (2002) Wireless sensor networks: A survey. Comput Netw 38(4):393–422

    Article  Google Scholar 

  3. Arvidson RE, Anderson RC, Bartlett P, Bell JF, Christensen PR, Chu P et al (2004) Localization and physical property experiments conducted by Opportunity at Meridiani Planum. Science 306(5702):1730–1733

    Article  Google Scholar 

  4. Chaurasia S, & Payal A (2011) Analysis of range-based localization schemes in wireless sensor networks: A statistical approach. In Advanced Communication Technology (ICACT), 2011 13th International Conference on. IEEE, pp 190–195

  5. Bao X, Bao F, Zhang S, Liu L (2010) An improved DV-Hop localization algorithm for wireless sensor networks. In: 2010 6th International Conference on Wireless Communications Networking and Mobile Computing (WiCOM), Chengdu, China, 23–25 September 2010

  6. Chowdhury TJ, Elkin C, Devabhaktuni V, Rawat DB, Oluoch J (2016) Advances on localization techniques for wireless sensor networks: A survey. Comput Netw 110:284–305

    Article  Google Scholar 

  7. Han G, Xu H, Duong TQ et al (2013) Localization algorithms of wireless sensor networks: a survey. Telecommun Syst 52(4):2419–2436

  8. Han G, Jiang J, Zhang C, Duong TQ, Guizani M, Karagiannidis GK (2016) A survey on mobile anchor node assisted localization in wireless sensor networks. IEEE Commun Surv Tutorials 18(3):2220–2243

    Article  Google Scholar 

  9. He T, Huang C, Blum BM, Stankovic JA, Abdelzaher T (2003) Range-free localization schemes for large scale sensor networks. In Proceedings of the 9th annual international conference on Mobile computing and networking (pp. 81–95). ACM

  10. Jiang JR, Lin CM, Lin FY, Huang ST (2013) ALRD AoA localization with RSSI differences of directional antennas for wireless sensor networks. International Journal of Distributed Sensor Networks. https://doi.org/10.1155/2013/529489

  11. Khan H, Hayat MN, & Rehman ZU (2017) Wireless sensor networks free-range base localization schemes: A comprehensive survey. In Communication, Computing and Digital Systems (CCODE), International Conference on. IEEE, pp 144-147

  12. Mao G, Fidan B, Anderson BD (2007) Wireless sensor network localization techniques. Comput Netw 51(10):2529–2553

    Article  MATH  Google Scholar 

  13. Mistry HP, & Mistry NH (2015) RSSI based localization scheme in wireless sensor networks: a survey. In Advanced Computing & Communication Technologies (ACCT), 2015 Fifth International Conference on. IEEE, pp 647-652

  14. Ou CH, He WL (2013) Path planning algorithm for mobile anchor-based localization in wireless sensor networks. IEEE Sensors J 13(2):466–475

    Article  Google Scholar 

  15. Pal A (2010) Localization algorithms in wireless sensor networks: Current approaches and future challenges. Netw Protocol Algorithm 2(1):45–73

    MathSciNet  Google Scholar 

  16. Peng Y, Wang D (2011) A review: wireless sensor networks localization. J Electron Meas Instrum 25(5):389–399

    Article  Google Scholar 

  17. Ran Q, Feng R, Yu N, & Wu Y (2016) A weighted least squares source localization algorithm using TDOA measurements in wireless sensor networks. In Electronics Information and Emergency Communication (ICEIEC), 2016 6th International Conference on. IEEE, pp 10-13

  18. Rawat P, Singh KD, Chaouchi H, Bonnin JM (2014) Wireless sensor networks: a survey on recent developments and potential synergies. J Supercomput 68(1):1–48

    Article  Google Scholar 

  19. Tan, G., Jiang, H., Zhang, S., Yin, Z., & Kermarrec, A. M. (2013). Connectivity-based and anchor-free localization in large-scale 2d/3d sensor networks. ACM Trans Sensor Netwo (TOSN), 10(1), 6

  20. Tree S (2014) Wireless sensor networks. Self 1(R2):C0

    Google Scholar 

  21. Wang G, Yang K (2011) A new approach to sensor node localization using RSS measurements in wireless sensor networks. IEEE Trans Wirel Commun 10(5):1389–1395

    Article  Google Scholar 

  22. Wen CY, Chan FK (2010) Adaptive AOA-aided TOA self-positioning for mobile wireless sensor networks[J]. Sensors 10(11):9742–9770

    Article  Google Scholar 

  23. Xiong J, Qin Q, & Zeng K (2014) A distance measurement wireless localization correction algorithm based on RSSI. In Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on, Vol. 2. IEEE, pp 276-278

  24. Xu J, Liu W, Lang F, Zhang Y, Wang C (2010) Distance measurement model based on RSSI in WSN. Wirel Sens Netw 2(08):606

    Article  Google Scholar 

  25. Xu J, He J, Zhang Y, Xu F, Cai F (2016) A distance-based maximum likelihood estimation method for sensor localization in wireless sensor networks. Int J Distrib Sensor Netw 12(4):2080536

    Article  Google Scholar 

  26. Zhu GH, Feng DZ, Xiang PY, Zhou Y (2015) Linear-correction TOA localization algorithm with sensor location errors. Chin J Syst Eng Electron 2:498–502

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science, Beijing University of Technology, Beijing, 100124, China

    Yong Zhao

  2. Department of Automation, Tsinghua University, Beijing, 100084, China

    Jing Xu, Shiji Song & Yuli Zhang

  3. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, 100093, China

    Fei Xu

Authors
  1. Yong Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jing Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Fei Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shiji Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Yuli Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yong Zhao.

Additional information

This project is partially supported by National key research and development plan project (2016YFB0800204)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, Y., Xu, J., Xu, F. et al. Real-time localization in wireless sensor network with multimedia applications. Multimed Tools Appl 77, 21791–21801 (2018). https://doi.org/10.1007/s11042-017-5506-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-017-5506-z

Keywords

Search

Navigation