Skip to main content
Log in

A 3-D Radio Irregularity Model (3DRIM) for Wireless Sensor Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Localization in wireless sensor network will be adversely effected due to radio irregularity. This makes the localization procedure more complex and as a result most of the localization techniques are based on the regular radio patterns and isotropic propagation model. In order to address this problem, we propose a three dimensional radio irregularity model, that takes into account non-isotropic radio model along with radio irregularity and also considers the three dimensional aspects. For this proposed model three dimensional degree of irregularity (3-D DOI) is calculated by forming a practical test bed and finally with the simulations are carried out to validate the theoretical model and effect of increase in distance on 3-D DOI.

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

Access this article

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

Instant access to the full article PDF.

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

Similar content being viewed by others

References

  1. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: A survey. Computer Networks, 38(4), 393–422.

  2. Skibniewski, M. J., & Jang, W. S. (2007). In ASCE international workshop on computing in civil engineering (pp. 1–8). Pittsburgh, PA.

  3. Almi’ani, K., Viglas, A., & Libman, L. (2010). In 2010 IEEE 35th conference on local computer networks (LCN) (pp. 582–589). IEEE.

  4. Shu, L., Zhang, Y., Yang, L. T., Wang, Y., Hauswirth, M., & Xiong, N. (2010). TPGF: Geographic routing in wireless multimedia sensor networks. Telecommunication Systems, 44(1–2), 79–95.

  5. Jiang, J., Han, G., Xu, H., Shu, L., & Zhang, Y. (2012). In 2012 IEEE wireless communications and networking conference (WCNC) (pp. 1704–1709). IEEE.

  6. Abrudan, T., et al. (2014). Ad Hoc Networks (Vol. 13). Amsterdam: Elsevier.

    Google Scholar 

  7. Dieng, N. A., Charbit, M., Chaudet, C., Toutain, L., & Ben Meriem, T. (2012). In 2012 15th international symposium on wireless personal multimedia communications (WPMC), pp. 336–340. IEEE.

  8. Newport, C., Kotz, D., Yuan, Y., Gray, R. S., Liu, J., & Elliott, C. (2007). Experimental evaluation of wireless simulation assumptions. Simulation, 83(9), 643–661.

  9. Biaz, S., & Ji, Y. (2005). In Sixth IEEE international symposium on a world of wireless mobile and multimedia networks, 2005. WoWMoM 2005 (pp. 388–394). IEEE.

  10. Biaz, S., Ji, Y., Qi, B., & Shaoen, W. (2005). In 2005 international conference on wireless communications, networking and mobile computing, 2005. Proceedings (Vol. 2, pp. 669–673). IEEE.

  11. Arfaoui, I., Bellazreg, R., & Boudriga, N. (2014). In 2014 22nd international conference on software, telecommunications and computer networks (SoftCOM) (pp. 160–164). IEEE.

  12. He, T., Stankovic, J. A., Lu, C., & Abdelzaher, T. (2003). In 23rd international conference on distributed computing systems, 2003. Proceedings (pp. 46–55). IEEE.

  13. Johnson, D. B., & Maltz, D. A. (1996). Mobile computing (pp. 153–181). Berlin: Springer.

  14. Karp, B., & Kung, H. T. (2000). In Proceedings of the 6th annual international conference on mobile computing and networking (pp. 243–254). ACM.

  15. Perkins, C. E., & Royer, E. M. (1999). In Second IEEE workshop on mobile computing systems and applications, 1999. Proceedings. WMCSA’99 (pp. 90–100). IEEE.

  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. Niculescu, D., & Nath, B. (2003). DV based positioning in ad hoc networks. Telecommunication Systems, 22(1–4), 267–280.

  18. He, T., Huang, C., Blum, B. M., Stankovic, J. A., & Abdelzaher, T. (2003). In Proceedings of the 9th annual international conference on mobile computing and networking (pp. 81–95). ACM.

  19. Wang, Y., Cheng, L., Han, G., Wu, H., & Jiang, B. (2014). RSS localization algorithm based on nonline of sight identification for wireless sensor network. International Journal of Distributed Sensor Networks, 2014. doi:10.1155/2014/213198.

  20. Shu, L., Hauswirth, M., Chao, H.-C., Chen, M., & Zhang, Y. (2011). NetTopo: A framework of simulation and visualization for wireless sensor networks. Ad Hoc Networks, 9(5), 799–820.

  21. Zhou, G., He, T., Krishnamurthy, S., & Stankovic, J. A. (2004). In Proceedings of the 2nd international conference on mobile systems, applications, and services (pp. 125–138). ACM.

  22. Ababneh, N. (2009). In IEEE Sarnoff Symposium, 2009. SARNOFF’09 (pp. 1–5). IEEE.

  23. Pham, C. (2014), Vol. 46, pp. 48–59.

  24. Morral, G., & Dieng, N. A. (2014). In 2014 IEEE 80th Vehicular Technology Conference (VTC Fall) (pp. 1–5). IEEE.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Niharika Anand.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Anand, N., Bellipady, S.R., Ranjan, R. et al. A 3-D Radio Irregularity Model (3DRIM) for Wireless Sensor Network. Wireless Pers Commun 96, 4725–4735 (2017). https://doi.org/10.1007/s11277-017-4414-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-4414-x

Keywords

Navigation