Skip to main content
SpringerLink
Log in

Comparative Analysis of Routing Algorithms for Underwater Sensor Network

  • Chapter
  • First Online:
Pervasive Computing: A Networking Perspective and Future Directions

Abstract

Wireless sensor networks give its role in every one’s life. It helps in everyone’s life at straightforward manner. WSNs are mainly used at the places which are not easily reachable to gather the information of surrounding. As all know ¾ portion of world is enclosed by water. So, if we want to know the environmental conditions of underwater, then we need sensor networks used underwater. If we compare terrestrial networks, UWSNs have some restrictions of lesser bandwidth, high broadcast deferral, and stumpy transmission power. Also corresponding to terrestrial sensor networks, one critical problem with underwater sensor networks is discovering a well-organized path between a sender and a receiver. We have reviewed various routing protocols for underwater sensor networks, and we have classified these protocols into two major categories based on position information and without position information. Comparison of all these protocols has been given along with the main idea of research articles and their research gap. After that, some ideas are given on which further research can be done in the field of underwater sensor networks.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wahid, A., & Kim, D. (2012). An energy efficient localization-free routing protocol for underwater wireless sensor networks. International Journal of Distributed Sensor Networks, Article ID 307246, 11 p.

    Google Scholar 

  2. Xie, P., Cui, J. H., & Lao, L. (2006). VBF: Vector-based forwarding protocol for underwater sensor, networks. In Proceedings of the IFIP networking Conference, Coimbra, Portugal, pp. 1216–1221, May 2006.

    Google Scholar 

  3. Wahid, A., Lee, S., Kim, D. (2011). An energy-efficient routing protocol for UWSNs using physical distance and residual energy. Broadband Wireless Computing Communication and Applications (BWCCA), IEEE, 12 p.

    Google Scholar 

  4. Wahid, A., Lee, S., & Kim, D. (2014). A reliable and energy-efficient routing protocol for underwater wireless sensor networks. International Journal of Communication System, 27(10), 2048–2062.

    Article  Google Scholar 

  5. Ayaz, M., & Abdullah, A. (2009) Hop-by-Hop dynamic addressing based (H2-DAB) routing protocol for underwater wireless sensor networks. In Proceedings of 2009 International Conference on Information and Multimedia Technology ICIMT’09, Jeju Island, Korea, pp. 436–441, December 2009.

    Google Scholar 

  6. Shin, D., Hwang, D., & Kim, D. (2012). DFR: An efficient directional flooding-based routing protocol in underwater sensor networks. Wireless Communications and Mobile Computing, 12(17), 1517–1527.

    Article  Google Scholar 

  7. Liu, G., & Li, Z. (2010). Depth-based multi-hop routing protocol for underwater sensor network. In Proceedings of the 2nd International Conference on Industrial Mechatronics and Automation (ICIMA’10), pp. 268–270, May 2010.

    Google Scholar 

  8. Wu, H., Chen, M., & Guan, X. (2012). A network coding based routing protocol for underwater sensor networks. Sensors, 12(4), 4559–4577.

    Article  Google Scholar 

  9. Jornet, J. M., Stojanovic, M., & Zorzi, M. (2008). Focused beam routing protocol for underwater, acoustic networks. In Proceedings of the Mobicom W UWNet’08, San Francisco, CA, USA, pp. 75–82, September 2008.

    Google Scholar 

  10. Hao, K., Jin, Z., Shen, H., & Wang, T. (2015). An efficient and reliable geographic routing protocol based on partial network coding for underwater sensor networks. Sensors 2015, 15, 12720–12735.

    Article  Google Scholar 

  11. Jafri, M. R., Ahmed, S., Javaid, N., Ahmad, Z., & Qureshi, R. J. (2013). AMCTD: Adaptive mobility of courier nodes in threshold optimized DBR protocol for underwater wireless sensor networks. In Proceedings of the IEEE 8th International Conference on Broadband, Wireless Computing, Communication and Applications (BWCCA’13), IEEE, pp. 93–99, October 2013.

    Google Scholar 

  12. Moeenuddin, T. (2015). Distance based reliable and energy efficient (DREE) routing protocol for underwater acoustic sensor networks. Journal of Networks, 10(5), May 2015.

    Google Scholar 

  13. Kheirabadi, M. T., & Mohamad, M. M. (2013). Greedy routing in underwater acoustic sensor networks: A survey. Journal of distributed Sensor Networks, 2013, 21 p, Article ID 701834.

    Google Scholar 

  14. Ilyas, N., Akbar, M., Ullah, R., Khalid, M., Arif, A., Hafeez, A., et al. (2015). SEDG: Scalable and efficient data gathering routing protocol for underwater WSNs. Procedia Computer Science, 52, 584–591 (Elsevier).

    Article  Google Scholar 

  15. Ilyas, N., Alghamdi, T. A., Farooq, M. N., Mehboob, B., Sadiq, A. H., Qasim, U., et al. (2015). AEDG: AUV-aided efficient data gathering routing protocol for underwater wireless sensor networks. Procedia Computer Science, 52, 568–575 (Elsevier).

    Article  Google Scholar 

  16. Nicolaou N., See, A., Xie, P., Cui, J. H., & Maggiorini, D. (2007). Improving the robustness of location-based routing for underwater sensor networks. In Proceedings of the IEEE OCEANS’07, Europe, pp. 1–6, 2007.

    Google Scholar 

  17. Coutinho, R. W. L., Boukerche, A., Vieira, L. F. M., & Loureiro, A. A. F. (2014). GEDAR: Geographic and opportunistic routing protocol with depth adjustment for mobile underwater sensor networks. In Proceedings of the 1st IEEE International Conference on Communications (ICC’14), IEEE, Sydney, Australia, International Journal of Distributed Sensor Networks, pp. 251–256, 11 June 2014.

    Google Scholar 

  18. Gopi, S., Govindan, K., Chander, D., Desai, U. B., & Merchant, S. N. (2010). E-PULRP: Energy optimized path unaware layered routing protocol for underwater sensor networks. IEEE Transactions on Wireless Communications, 9(11), 3391–3401.

    Article  Google Scholar 

  19. Sun, X,. Huang, S. C.-H., & Li, M. (2012). Data collection time in sensor networks. In Wireless algorithms, systems, and applications (pp. 120–131). Berlin: Springer.

    Chapter  Google Scholar 

  20. Ali, T., Jung, L. T., & Ameer, S. (2012). Flooding control by using angle based cone for UWSNs. In Proceedings of the International Symposium on Telecommunication Technologies (ISTT’12), IEEE, Kuala Lumpur, Malaysia, pp. 112–117, November 2012.

    Google Scholar 

  21. Lee, U., Wang, P., Noh, Y., Vieira, L. F. M., Gerla, M., & Cui, J.-H. (2010). Pressure routing for underwater sensor networks. In Proceedings of the IEEE INFOCOM, 2010, pp. 1–9.

    Google Scholar 

  22. Wu, X., Chen, G., & Chen, J. (2010). Energy-efficient and topology aware routing for underwater sensor networks. In Proceedings of the 19th International Conference on Computer Communications and Networks (ICCCN’10), August 2010.

    Google Scholar 

  23. Du, X.-J., Huang, K.-J., Lan, S.-L., Feng, Z.-X., & Liu, F. (2014). LB-AGR: Level-based adaptive geo-routing for underwater sensor network. The Journal of China Universities of Posts and Telecommunications, 21(1), 54–59.

    Article  Google Scholar 

  24. Noh, Y., Lee, U., Wang, P., Choi, B., & Gerla, M. (2013). VAPR: Void aware pressure routing for underwater sensor networks. IEEE Transactions on Mobile Computing, 12(5), 895–908.

    Article  Google Scholar 

  25. Yan, H., Shi, Z., & Cui, J. H. (2008). DBR: Depth-based routing f or underwater sensor networks. In Proceedings of the IFIP Networking’08 Conference, Singapore, pp. 72–86, May 2008.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science and Engineering Department, Faculty of Engineering, Teerthanker Mahaveer University, Moradabad, India

    Gulista Khan & Kamal Kumar Gola

  2. CCSIT, Teerthanker Mahaveer University, Moradabad, India

    R. K. Dwivedi

Authors
  1. Gulista Khan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. R. K. Dwivedi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Kamal Kumar Gola
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gulista Khan .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Deepshikha Bhargava

  2. Amity Institute of Information Technology, Amity University Rajasthan, Jaipur, Rajasthan, India

    Sonali Vyas

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Khan, G., Dwivedi, R.K., Gola, K.K. (2019). Comparative Analysis of Routing Algorithms for Underwater Sensor Network. In: Bhargava, D., Vyas, S. (eds) Pervasive Computing: A Networking Perspective and Future Directions. Springer, Singapore. https://doi.org/10.1007/978-981-13-3462-7_3

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-3462-7_3

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-3461-0

  • Online ISBN: 978-981-13-3462-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation