Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Report Hexagonal Based Dynamic Location Finding Techniques with Sequence-Based Localization in Wireless Sensor Network

  • 84 Accesses


In location and address based Wireless Sensor Networks, secure route detection, data transference, energy conservation and costs are very crucial in existing networks. To overcome the issues and make a secure, correct location finding within sensor node regions (intra) and between sensor nodes regions (inter), many researches are proposed. But none of the process satisfied these issues in efficient manner. To make the secure and exact location finding as efficient manner, we proposed a new location based technique named report hexagonal based dynamic location (RHBDL). This proposed system employed the location discovering scheme using sequence-based localization. Moreover RHBDL is used to find the exact locations of the destination node. The location has been computed using RHBDL by placing the mobile nodes in the edge and radio range path of the hexagonal regions. RHBDL preserve the previous communication path based on accuracy, error location, efficient energy and node lifetime. This will help to reduce the alternate location of exact location due to (or by eliminating) unwanted nodes. The most appropriate exact path from source to destination of node location will be formed over the network. The experimentation was performed as the result, our proposed RHBDL technique provides better and exact localization with more accuracy than other radio signal location discovering scheme using sequence-based localization techniques over a range of wireless channel and nodes.

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

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7


  1. 1.

    Li, X., & Wu, J. (2011, June). Fine-grained Localization with Pairwise Nodes Coverage. In Distributed Computing Systems Workshops (ICDCSW), 2011 31st International Conference on IEEE (pp. 111–117).

  2. 2.

    Zhou, B., Li, Q., Mao, Q., Tu, W. H., & Zhang, X. (2014). Activity sequence-based indoor pedestrian localization using smartphones. IEEE Transactions on Human-Machine Systems, 45, 562–574.

  3. 3.

    Wu, K., Xiao, J., Yi, Y., Gao, M., & Ni, L. M. (2012). Fila: Fine-grained indoor localization. In INFOCOM, 2012 Proceedings IEEE (pp. 2210–2218). IEEE.

  4. 4.

    Yu, Y., Yuan, L., & Kuang, Y. (2012). An improved sequence-based indoor localization algorithm in WSNs. In 2012 IEEE Fifth international conference on advanced computational intelligence (ICACI) (pp. 923–926). IEEE.

  5. 5.

    Liu, Z., & Chen, J. (2009). A new sequence-based iterative localization in wireless sensor networks. In ICIECS 2009 International conference on information engineering and computer science, 2009 (pp. 1–4). IEEE.

  6. 6.

    Xu, X. & Deng, Z. (2009) A novel sequence based localization approach for wireless sensor networks. In WiCom ‘09 5th international conference on wireless communications, networking and mobile computing 2009 (pp. 1–4), September, 24–26, 2009.

  7. 7.

    Sachs, J., & Herrmann, R. (2015). M-sequence-based ultra-wideband sensor network for vitality monitoring of elders at home. IET Radar, Sonar and Navigation, 9(2), 125–137.

  8. 8.

    Faraji, M. M., Rezaie, A. H. & Iranmehr, E. (2014). Real-time ML based algorithm for localizing acoustic source in WSN. In 2014 22nd Iranian conference on electrical engineering (ICEE). IEEE.

  9. 9.

    Hsiao, C.-C., Tsai, Y.-J. & Zheng, W. -D. (2013). Node deployment strategy for WSN-based node-sequence localization considering specific paths. In 2013 IEEE eighth international conference on intelligent sensors, sensor networks and information processing. IEEE.

  10. 10.

    Xiaoguang, L. & Wu, J. (2011). Fine-grained localization with pairwise nodes coverage. In 2011 31st international conference on distributed computing systems workshops (ICDCSW) (pp. 111–117). June, 20–24, 2011.

  11. 11.

    Hsiao, C.-C. & Tsai, Y.-J. (2011). Node deployment strategy for WSN-based node-sequence localization. In 2011 Seventh international conference on intelligent sensors, sensor networks and information processing (ISSNIP). IEEE.

  12. 12.

    Yedavalli, K., Krishnamachari, B., Ravula, S. & Srinivasan, B. (2005). Ecolocation: a sequence based technique for RF localization in wireless sensor networks. In IPSN 2005 Fourth international symposium on information processing in sensor networks. (pp. 285–292). April, 15, 2005.

  13. 13.

    Sarath, C. & Antony, A. (2015). Implementation of SVM to improve the performance of a nine level inverter with reduced number of switches. In 2015 IEEE, 978-1-4799-1823-2/2015.

  14. 14.

    Yedavalli, K., & Krishnamachari, B. (2015). Sequence-based localization in wireless sensor networks. IEEE Transactions on Mobile Computing, 7(99), 1.

  15. 15.

    Krishnamurthy, P. & Chrysanthis, P. K. (2002). On indoor position location with wireless LANs. In Proceedings of the IEEE personal, indoor and mobile radio communications (PIMRC’02). Lisbon, Portugal.

  16. 16.

    Bulusu, N., Heidemann, J., & Estrin, D. (2000). GPS-less low-cost outdoor localization for very small devices. Personal Communications, IEEE, 7(5), 28–34.

  17. 17.

    Gwon, Y., Jain, R., & Kawahara, T. (2004). Robust indoor location estimation of stationary and mobile users. In INFOCOM 2004. Twenty-third Annual joint conference of the IEEE computer and communications societies (Vol. 2, pp. 1032–1043). IEEE.

  18. 18.

    Qiu, L., & Kennedy, R. A.(2007). Radio location using pattern matching techniques in fixed wireless communication networks. In Communications and Information Technologies, 2007. ISCIT'07. International Symposium on. IEEE.

  19. 19.

    Chan, et al. (2009). Maintaining probabilistic consistency for frequently offline devices in mobile ad hoc networks. In Distributed Computing Systems, 2009. ICDCS'09. 29th IEEE International Conference on. IEEE.

  20. 20.

    Stoleru, R., He, T., Stankovic, J. A., & Luebke, D. (2005). A high-accuracy, low-cost localization system for wireless sensor networks. In The 3rd international conference on embedded networked sensor systems (pp. 13–26).

Download references

Author information

Correspondence to J. S. Saji Kumar.

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Saji Kumar, J.S., Sherly, E. Report Hexagonal Based Dynamic Location Finding Techniques with Sequence-Based Localization in Wireless Sensor Network. Wireless Pers Commun 99, 637–650 (2018). https://doi.org/10.1007/s11277-017-5041-2

Download citation


  • Wireless sensor networks
  • Errorless location
  • Report hexagonal based dynamic location
  • Hexagonal regions
  • Sequence-based localization