Skip to main content

Advertisement

Log in

Energy Efficient Shortest Path Routing Protocol for Underwater Acoustic Wireless Sensor Network

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

While several protocols are proposed in performing sub aquatic communication, routing and issues related to efficiency of energy are considered as important for the underwater sensor network. With a view of overcoming those issues, researches related to underwater sensor network happen to be still analyzing about how to improve performance of routing. In this study, we propose one new multi-layered routing protocol (MRP) that can be used in discovery of the efficient path and it also enhances the overall functioning of the end-to-end delay ration, effective utilization of energy, and network lifetime. Through advancing of its request for route from some node to a different one till reaching a particular surface node, MRP detects the path. The surface position nodes get stationed over the underwater and they are helpful to gather information which is sent from sub aquatic sensor nodes. We also suggest a new system called splice method that can be used in sub aquatic sensor correspondence for efficient data transmission via connection of the shortest route nodes. The splice function detects the sum of energy pertaining to a linked node and also the route having the greatest energy are being taken to forward data to surface position node. In case s surface position node happens to be busy with communication, then it will give an update instruction to the succeeding sub aquatic neighbor nor for taking a substitute surface position node for avoiding loss of data. After that, the sub aquatic node will take a substitute surface position node and will advance the particular information on to heap node. At the end, the surface position node advances the information on to the heap node; data gets transmitted in the shortest route in an energy-efficient manner and least possible distance with the lowest hops and ultimately, data gets forwarded by heap node to be stored on the Shell. Moreover, a list having information log is maintained by heap node, containing data about which data gets transmitted from which particular node and at what frequency of time duration the information was received, prior to storing the same in the shell. The particular shell that acts as buffer stores the data that has been advanced through heap node. In addition, we are also making use of segmented data reliable transfer protocol that achieves a dependable energy-effective transmission of data in sub aquatic sensor network.

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

Similar content being viewed by others

References

  1. Wahid, A. (2014). A localization free multi layered routing protocol for underwater wireless sensor networks. Wireless Personal Communications, 77(4), 2997–3012.

    Article  Google Scholar 

  2. Babu, A. V., & Joshy, S. (2012). Maximizing the data transmission rate of a cooperative relay system in an underwater acoustic channel. International Journal of Communication Systems, 25, 231–253. doi:10.1002/dac.1266.

    Article  Google Scholar 

  3. Chen, K., Zhou, Y., & He, J. (2009). A localization scheme for underwater wireless sensor networks. International Journal of Advanced Science and Technology, 4, 9–16.

    Google Scholar 

  4. Dhurandher, S. K., Obaidat, M. S., & Gupta, M. (2012). Providing reliable and link stability-based geocasting model in underwater environment. International Journal of Communication Systems, 25, 356–375. doi:10.1002/dzac.1245.

    Article  Google Scholar 

  5. Harris, A. F., & Zorzi, M. (2007). Modeling the underwater acoustic channel in ns2. In Presented at 2nd international conference on performance evaluation methodologies and tools (ValueTools’07).

  6. Sivasangari, A., & Martin Leo Manickam, J. (2015). Energy efficient and security based data communication in wireless body sensor networks. Journal of Pure and Applied Microbiology, 9, 701–711.

    Google Scholar 

  7. Jornet, J. M., Stojanovic, M., & Zorzi, M. (2008). Focused beam routing protocol for underwater acoustic networks. In Presented at third ACM international workshop on underwater networks (pp. 75–82).

  8. Gomathi, R. M., & Martin Leo Manickam, J. (2016). PAPR reduction technique using combined DCT and LDPC based OFDM system for underwater acoustic communication. ARPN Journal of Engineering and Applied Sciences, 11(7), 4424–4430.

    Google Scholar 

  9. Yan, H., Shi, Z., & Cui, J. H. (2008). DBR: Depth-based routing for underwater sensor networks. In Networking, ad hoc and sensor networks, wireless networks, next generation internet (pp. 72–86). Springer.

  10. Ayaz, M., & Abdullah, A. (2009). Hop-by-hop dynamic addressing based (H2-DAB) routing protocol. In Presented at conference on information and multimedia technology (ICIMT ‘09) (pp. 436–441).

  11. Chirdchoo, N., Soh, W. S., & Chua, K. C. Sector based routing with destination location prediction for underwater mobile networks. In Advanced information networking and applications workshop (pp. 1148–1153).

  12. Seah, W. K. G., & Tan, H. X. (2006). Multipath virtual sink architecture for underwater sensor networks. In Oceans 6-Asia Pacific (pp. 1–6).

  13. Pompili, D., Melodia, T., & Akyildiz, I. F. (2006). A resilient routing algorithm for long-term applications in underwater sensor networks. In Presented at Mediterranean ad hoc networking workshop (Med- DHoc-Net).

  14. Domingo, M. C. (2011). A distributed energy-aware routing protocol for underwater wireless sensor networks. Wireless Personal Communications, 57, 607–627.

    Article  Google Scholar 

  15. Lee, U., Wang, P. Noh, Y., Vieira, L., Gerla, M., & Cui, J. H. (2010). Pressure routing for underwater sensor networks. In Presented at INFOCOM (pp. 1–9).

  16. Sivasangari, A., Martin Leo Manickam, J., & Gomathi, R. M. (2015). RC6 based security in wireless body area network. Journal of Theoretical and Applied Information Technology. ISSN 1992-8645, 74(1), pp. 31–34.

  17. Guo, Z., Colombo, G., & Wang, B et al. (2008). Adaptive routing in underwater delay/disruption tolerrent sensor networks. WONS (pp. 31–39).

  18. Xie, G., & Gibson, J. (2001). A network layer protocol for UANs to address propagation delay induced performance limitations. In Presented at MTS/IEEE conference on exhibition ocean engineering science and technology (OCEANS) vol. 4, Honolulu, HI, pp. 2087–2094.

  19. Bharamagoudraa, M. R., Manvi, S. S., & Gonen, B. (2017). Event driven energy depth and channel aware routing for underwater acoustic sensor networks: Agent oriented clustering based approach. Computers and Electrical Engineering., 58, 1–19.

    Article  Google Scholar 

  20. Rathna, R., & Siva Subramanian, A. (2011). TDMA based low energy consuming MAC protocol for wireless sensor networks in environmental monitoring applications. Springer CCIS, ISSN 1865-0929, ISBN 978-3-642-24036-2, 203(1) (pp. 420–427).

  21. Gomathi, R. M., & Martin Leo Manickam, J. (2015). Energy preserved mobicast routing prorocol with static node for underwater acoustic sensor network. In Presented at IEEE international conference on innovation, information in computing technology (ICIICT) (pp. 1–8).

  22. Gomathi, R. M., & Martin Leo Manickam, J. (2016). A comparative study on routing strategies for underwater acoustic wireless sensor network. Contemporary Engineering Sciences, 9(2), 71–80.

    Article  Google Scholar 

Download references

Acknowledgements

We are thankful to the management of Sathyabama University for providing us all the necessary facilities required for this research work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R. M. Gomathi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gomathi, R.M., Martin Leo Manickam, J. Energy Efficient Shortest Path Routing Protocol for Underwater Acoustic Wireless Sensor Network. Wireless Pers Commun 98, 843–856 (2018). https://doi.org/10.1007/s11277-017-4897-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-4897-5

Keywords

Navigation