Progressive Localization using Mobile Anchor in Wireless Sensor Network

Authors

  • Ajay Kumar  Department of Computer Science and Engineering, Vedica Institute of Technology, Bhopal Madhya Pradesh, India
  • Raj Kumar Paul  Department of Computer Science and Engineering, Vedica Institute of Technology, Bhopal Madhya Pradesh, India

DOI:

https://doi.org//10.32628/CSEIT1952313

Keywords:

WSN, GPS, Localization

Abstract

Wireless sensor network (WSN) is employed to gather and forward information to the destination. It is very crucial to know the location of the event or collected information. This location information may be obtained using GPS or localiza-tion technique in wireless sensor networks. Randomly deployed WSN needs a large amount of GPS-enabled sensor nodes for localization, this necessitates progressive approach. However, nodes with sparse connectivity remain unlocalized. In this paper, a progressive mobile anchor based technique is proposed for node localization. Initially, sensor nodes are localized using anchors in the neighborhood, then these localized nodes progressively localized remaining nodes using multilateration. Mobile anchor node moves randomly in field and broadcast position information. Its localized nodes with sparse connectivity. Simulation results show that proposed approach localize all sensor nodes with good accuracy.

References

  1. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, “Wireless sensor networks: a survey,” Computer networks, vol. 38, no. 4, pp. 393–422, 2002.
  2. A. Savvides, H. Park, and M. B. Srivastava, “The n-hop multilateration primitive for node localization problems,” Mobile Networks and Appli-cations, vol. 8, no. 4, pp. 443–451, 2003.
  3. N. Jain, S. Verma, and M. Kumar, “Locally linear embedding for node localization in wireless sensor networks,” in Computational Intelligence and Communication Networks (CICN), 2015 International Conference on. IEEE, 2015, pp. 126–130.
  4. X. Li, Y. Zhang, K. Xu, G. Fan, and H. Wu, “Research of localization and tracking algorithms based on wireless sensor network,” Journal of Information & Computational Science, vol. 8, no. 4, pp. 708–715, 2011.
  5. G. Mao, B. Fidan, and B. D. Anderson, “Wireless sensor network localization techniques,” Computer networks, vol. 51, no. 10, pp. 2529–2553, 2007.
  6. M. I. Akbas¸, M. Erol-Kantarcı, and D. Turgut, “Localization for wireless sensor and actor networks with meandering mobility,” IEEE Transac-tions on Computers, vol. 64, no. 4, pp. 1015–1028, 2015.
  7. S. K. Rout, A. Mehta, A. R. Swain, A. K. Rath, and M. R. Lenka,“Algorithm aspects of dynamic coordination of beacons in localization of wireless sensor networks,” in 2015 IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS). IEEE, 2015, pp. 157–162.
  8. C. Nguyen, O. Georgiou, and Y. Doi, “Maximum likelihood based multihop localization in wireless sensor networks,” in 2015 IEEE International Conference on Communications (ICC). IEEE, 2015, pp.6663–6668.
  9. S. Tomic, M. Beko, R. Dinis, and L. Berbakov, “Cooperative local- ization in wireless sensor networks using combined measurements,” in Telecommunications Forum Telfor (TELFOR), 2015 23rd. IEEE, 2015, pp. 488–491.
  10. J. Cota-Ruiz, P. Rivas-Perea, E. Sifuentes, and R. Gonzalez-Landaeta,“A recursive shortest path routing algorithm with application for wirelesssensor network localization,” IEEE Sensors Journal, vol. 16, no. 11, pp. 4631–4637, 2016.
  11. S. Shen, B. Yang, K. Qian, and X. Jiang, “An efficient localization algorithm in wireless sensor networks,” in 2015 Third International Symposium on Computing and Networking (CANDAR). IEEE, 2015, pp. 291–294.
  12. X. Zhang, J. Fang, and F. Meng, “An efficient node localization approach with rssi for randomly deployed wireless sensor networks,” Journal of Electrical and Computer Engineering, vol. 2016, 2016.
  13. D. Wang, L. Yang, and X. Cheng, “A low-complexity cooperative algorithm for robust localization in wireless sensor networks,” in 2016 International Conference on Computing, Networking and Communica- tions (ICNC). IEEE, 2016, pp. 1–5.
  14. V. K. Chaurasiya, N. Jain, and G. C. Nandi, “A novel distance estimation approach for 3d localization in wireless sensor network using multi dimensional scaling,” Information Fusion, vol. 15, pp. 5–18, 2014.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

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Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Ajay Kumar, Raj Kumar Paul, " Progressive Localization using Mobile Anchor in Wireless Sensor Network, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.996-1003, March-April-2019. Available at doi : https://doi.org/10.32628/CSEIT1952313