Skip to main content

Advertisement

Log in

An efficient routing protocol based on polar tracing function for underwater wireless sensor networks for mobility health monitoring system application

  • Transactional Processing Systems
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

In recent times, Underwater Wireless Sensor Networks (UWSNs) have involved various applications in oceanographic data collection, pollution revealing, environmental monitoring, offshore exploration, disaster prevention, military surveillance, etc. nevertheless the unique characterization of UWSNs are designed for the grid division on geographical system with polar tracing function to attain the shortest- path and minimizing the energy consumption for end – to – end transmission. In this paper, we proposed a Grid Division Polar Tracing (GDPT) routing protocol function using greedy algorithm for reducing the energy consumption by incorporating into cubic grids and polar tracing functions. The NS2 simulation results proved that the optimal distance of the found path, packet delivery ratio, network lifetime, energy consumption and propagation delay are the performance metrics in the routing protocols. In proposed case used for application of underwater sensor based health monitoring system for wireless in under water environment.

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
Fig. 6

Similar content being viewed by others

References

  1. Ahmed, M., Salleh, M., Channa, M. I., Routing protocols based on protocol operations for underwater wireless sensor network: A survey, Egyptian Informatics Journal, 2017.

  2. Heidemann, J., Stojanovic, M., and Zorzi, M., Underwater sensor networks: applications, advances and challenges”, Phil. Trans. R. Soc. A, 158–175, 2012.

    Article  Google Scholar 

  3. Wahid, A., Lee, S., Kim, D., Lim, K. S., MRP: a localization-free multi-layered routing protocol for underwater wireless sensor networks, Wireless Personal Communication, Springer journal, Aug 2014; pp: 2997–3012.

  4. Javaid, N., Jafri, M. R., Khan, Z. A., Qasim, U., Alghamdi, T. A., Ali, M., IAMCTD: Improved Adaptive Mobility of Courier nodes in Threshold-optimized DBR protocol for underwater wireless sensor networks, Int. Journal of Distributed Sensor Network 2014.

  5. Coutinho, R. W., Boukerche, A., Vieira, L. F., Loureiro, A. A., GEDAR: Geographic and Opportunistic Routing Protocol with Depth Adjustment for Mobile Underwater Sensor Networks, IEEE International Conf (ICC) 251–256, 2014.

  6. Jiang, J., Han, G., Guo, H., Shu, L., Rodrigues, J. J. P. C., Geographic multipath routing based on geospatial division in duty-cycled underwater wireless sensor networks, Journal of Network and Computer Applications 2015.

  7. Huang, H., Hu, G., and Yu, F., Energy aware geographic routing in wireless sensor networks with anchor nodes. Int J CommunSyst 26(1):100–113, 2013.

    Google Scholar 

  8. Han, G., Jiang, J., Shu, L., Xu, Y., and Wang, F., Localization algorithms of underwater wireless sensor networks: a survey. Sensors, MDPI 12(2):2026–2061, 2012.

    Article  Google Scholar 

  9. Xie, P., Cui, J., and Lao, L., “VBF: vector-based forwarding protocol for underwater sensor networks”, networking technologies, services, and protocols; performance of computer and communication networks; mobile and wireless communications systems. Berlin, Heidelberg: Springer, 2006, 1216–1221.

    Google Scholar 

  10. Partan, J., Kurose, J., and Levine, B. N., A survey of practical issues in underwater networks. ACM SIGMOBILE Mob Comput. Commun. Rev 11(4):23–33, 2007.

    Article  Google Scholar 

  11. Nicolaout, N., Cui, J-H, Maggiorini, K.D., Improving the Robustness of Location- Based Routing for Underwvater Sensor Networks, IEEE OCEAN Europe, 2007.

  12. Han, G., Dong, Y., Guo, H., Shu, L., Wu, D., Cross-layer optimized routing in WSN with duty-cycle and energy harvesting”, Wireless communications and mobile computing, 2014.

  13. Guangzong, L., Zhibin, L., “Depth-Based Multi-hop Routing Protocol for Underwater Sensor Network”, In 2010 2nd International Conference on Industrial Mechatronics and Automation, 2011 IEEE

  14. Jumira, O., Wolhuter, R., and Zeadally, S., Energy efficient beaconless geographic routing in energy harvested wireless sensor networks. Concurrency and Computation: Pract Exp 25(1):58–84, 2013.

    Article  Google Scholar 

  15. Jornet, J. M., Stojanovic, M., and Zorzi, M., Focused beam routingprotocol for underwater acoustic networks. In: Proceedings of the third ACM international workshop on Underwater Networks, ser. WuWNeT ‘08. New York: ACM, 2008, 75–82.

    Google Scholar 

  16. Huang, H., Hu, G., and Yu, F., Energy aware multipath geographic routing for detouring mode in wireless sensor networks. Eur Trans Telecommun 22(7):375–387, 2011.

    Article  Google Scholar 

  17. Ayaz, M., Abdullah, A., Hop-by-Hop Dynamic Addressing Based (H2-DAB) Routing Protocol for Underwater Wireless Sensor Networks, 2009 IEEE.

  18. Zhao, L., Liang, Q., Optimum cluster size for underwater acoustic sensor networks, In: Military communications conference, 1–5, 2006

  19. Sozer, E. M., Stojanovic, M., Proakis, J. G., Design and simulation of an underwater acoustic local area network, Int. Journal of Optical Networks, 1999.

  20. Sozer, E. M., Stojanovic, M., Proakis, J. G., Underwater acoustic networks, IEEE Journal of Ocean Engineering, 72–83, 2000.

    Article  Google Scholar 

  21. Stojanovic, M., and Proakis, J. G., “Acoustic (underwater) communications”, Encyclopedia of Telecommunications. New York: Wiley, 2003.

    Google Scholar 

  22. Zhang, H., and Shen, H., Energy-efficient beaconless geographic routing in wireless sensor networks. IEEE Trans Parallel DistribSyst 21(6):881–896, 2010.

    Article  CAS  Google Scholar 

  23. Zeng, K., Ren, K., Lou, W., and Moran, P. J., Energy aware efficient geographic routing in lossy wireless sensor networks with environmental energy supply. Wireless Network 15(1):39–51, 2009.

    Article  Google Scholar 

  24. Akyildiz, I. F., Pompili, D., and Melodia, T., Underwater acoustic sensor networks: research challenges. Adhoc Networks 3(3):257–279, 2005.

    Article  Google Scholar 

  25. Priya, M. M. V., and Kumari, A., Traffic aware multipath communication for time-critical applications in underwater acoustic sensor networks. Int J Manag IT Eng 2(7):66–73, 2012.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to BalajiVijayan Venkateswarulu.

Ethics declarations

Conflict of Interest

This paper has not communicated anywhere till this moment, now only it is communicated to your esteemed journal for the publication with the knowledge of all co-authors.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This article is part of the Topical Collection on Transactional Processing Systems

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Venkateswarulu, B., Subbu, N. & Ramamurthy, S. An efficient routing protocol based on polar tracing function for underwater wireless sensor networks for mobility health monitoring system application. J Med Syst 43, 218 (2019). https://doi.org/10.1007/s10916-019-1352-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-019-1352-z

Keywords

Navigation