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Wireless Networks

, Volume 25, Issue 6, pp 3481–3495 | Cite as

Time-variant balanced routing strategy for underwater wireless sensor networks

  • Rawan Abdullah Albukhary
  • Fatma BouabdallahEmail author
Article
  • 61 Downloads

Abstract

In the past decade, researchers’ interest in Underwater Wireless Sensors Networks has rapidly increased. There are several challenges facing the lifetime of UWSNs due to the harsh characteristics of the underwater environment. Energy efficiency is one of the major challenges in UWSNs due to the limited battery budget of the sensor nodes. In this paper, we aim at tackling the energy sink-hole problem that especially hits nodes close to the sink when they run out of battery power before other sensors in the network. We prove that we can evenly distribute the transmission load among mobile sensor nodes by letting sensor nodes adjust their transmission ranges. In this paper, we suppose that sensor nodes may adjust their transmission power up to three levels. Consequently, we strive for deriving the optimal load weight for each possible transmission power level that leads to fair energy consumption among all underwater sensors while taking into account the underwater sensors mobility. Performance results show that energy sink-hole problem is overcame and hence the network lifetime is maximized.

Keywords

Underwater acoustic sensor networks Routing Load balance Performance analysis Energy conservation 

References

  1. 1.
    Pompili, D. (2007). Efficient communication protocols for underwater acoustic sensor networks. Ph.D. dissertation, Georgia Institute of Technology.Google Scholar
  2. 2.
    Ayaz, M., Baig, I., Abdullah, A., & Faye, I. (2011). A survey on routing techniques in underwater wireless sensor networks. Journal of Network and Computer Applications, 34(6), 1908–1927.CrossRefGoogle Scholar
  3. 3.
    Jornet, J. M., Stojanovic, M., & Zorzi, M. (2008). Focused beam routing protocol for underwater acoustic networks. In Proceedings of the third ACM international workshop on Underwater Networks (pp. 75–82). ACM.Google Scholar
  4. 4.
    Azam, I., Majid, A., Ahmad, I., Shakeel, U., Maqsood, H., Khan, Z. A., Qasim, U., & Javaid, N. (2016). Seec: Sparsity-aware energy efficient clustering protocol for underwater wireless sensor networks. In 2016 IEEE 30th international conference on advanced information networking and applications (AINA) (pp. 352–361). IEEE.Google Scholar
  5. 5.
    Chen, Y.-S., & Lin, Y.-W. (2013). Mobicast routing protocol for underwater sensor networks. IEEE Sensors Journal, 13(2), 737–749.CrossRefGoogle Scholar
  6. 6.
    Yan, H., Shi, Z. J., & Cui J.-H. (2008). Dbr: Depth-based routingfor underwater sensor networks. In NETWORKING 2008 ad hoc and sensor networks, wireless networks, next generation internet (pp. 72–86). Springer.Google Scholar
  7. 7.
    Lee, U., Wang, P., Noh, Y., Vieira, L. F., Gerla, M., & Cui, J.-H. (2010). Pressure routing for underwater sensor networks. In INFOCOM, 2010 Proceedings IEEE (pp. 1–9). IEEE.Google Scholar
  8. 8.
    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.CrossRefGoogle Scholar
  9. 9.
    Luo, H., Guo, Z., Wu, K., Hong, F., & Feng, Y. (2009). Energy balanced strategies for maximizing the lifetime of sparsely deployed underwater acoustic sensor networks. Sensors, 9(9), 6626–6651.CrossRefGoogle Scholar
  10. 10.
    Bouabdallah, F., Bouabdallah, N., & Boutaba, R. (2009). On balancing energy consumption in wireless sensor networks. IEEE Transactions on Vehicular Technology, 58(6), 2909–2924.CrossRefzbMATHGoogle Scholar
  11. 11.
    Nowsheen, N., Karmakar, G., & Kamruzzaman, J. (2014). Mpdf: Movement predicted data forwarding protocol for underwater acoustic sensor networks. In 2014 Asia-Pacific conference on communications (APCC) (pp. 100–105). IEEE.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Computing and Information Technology, Information Technology departmentKing Abdulaziz UniversityJeddahSaudi Arabia

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