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Time-variant balanced routing strategy for underwater wireless sensor networks

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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.

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References

  1. Pompili, D. (2007). Efficient communication protocols for underwater acoustic sensor networks. Ph.D. dissertation, Georgia Institute of Technology.

  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.

    Article  Google Scholar 

  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.

  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.

  5. Chen, Y.-S., & Lin, Y.-W. (2013). Mobicast routing protocol for underwater sensor networks. IEEE Sensors Journal, 13(2), 737–749.

    Article  Google Scholar 

  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.

  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.

  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.

    Article  Google Scholar 

  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.

    Article  Google Scholar 

  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.

    Article  MATH  Google Scholar 

  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.

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Correspondence to Fatma Bouabdallah.

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Albukhary, R.A., Bouabdallah, F. Time-variant balanced routing strategy for underwater wireless sensor networks. Wireless Netw 25, 3481–3495 (2019). https://doi.org/10.1007/s11276-019-01942-7

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  • DOI: https://doi.org/10.1007/s11276-019-01942-7

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