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Link to original content: https://doi.org/10.1007/978-3-031-40978-3_40
Energy-Aware Depth-Based Routing Protocol for Underwater Wireless Sensor Networks | SpringerLink
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Energy-Aware Depth-Based Routing Protocol for Underwater Wireless Sensor Networks

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Advances in Networked-based Information Systems (NBiS 2023)

Abstract

Emerging Underwater Wireless Sensor Networks (UWSN) technologies need to address delays, disruptions and disconnections between nodes. Usage of acoustic waves is recommended in order to improve the propagation in water environment, but the communication becomes unstable when nodes are distant, so real-time communication faces a lot of challenges. The usage of Delay Tolerant Networks (DTN) protocols to forward data in UWSN might solve these problems. One characteristic of routing protocols for DTN is flooding of messages to increase the delivery probability. For instance, Epidemic Routing (ER) protocol floods the network with copies of generated messages, which creates a lot overhead in each node’s buffer, and uses a lot of valuable energy from the relay nodes. In this paper, we propose an energy-aware depth-based routing protocol, in order to decrease overhead and energy consumption, without deteriorating its network performance. We evaluate the performance of the EA-DBR based on message delivery ratio, overhead, and energy.

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References

  1. Potter, J., Alves, J., Green, D., Zappa, G., Nissen, I., McCoy, K.: The JANUS underwater communications standard. In: 2014 Underwater Communications and Networking (UComms), Sestri Levante, pp. 1–4 (2014)

    Google Scholar 

  2. Stojanovic, M.: Underwater acoustic communication. In: Wiley Encyclopedia of Electrical and Electronics Engineering (1999). https://doi.org/10.1002/047134608X.W5411

  3. Akyildiz, I.F., Pompili, D., Melodia, T.: Underwater acoustic sensor networks: research challenges. Ad Hoc Netw. 3(3), 257–279 (2005). https://doi.org/10.1016/j.adhoc.2005.01.004

    Article  Google Scholar 

  4. Yin, J., Du, P., Yang, G., Zhou, H.: Space-division multiple access for CDMA multiuser underwater acoustic communications. J. Syst. Eng. Electron. 26(6), 1184–1190 (2015)

    Article  Google Scholar 

  5. Keränen, A., Ott, J., Kärkkäinen, T.: The ONE simulator for DTN protocol evaluation. In: Proceedings of the 2nd International Conference on Simulation Tools and Techniques, Rome, Italy (2009)

    Google Scholar 

  6. Yang, D., Sun, X., Hong, L., Zhou, H.: Research of directivity of underwater acoustic velocity gradient sensors. In: 2013 Symposium on Piezoelectricity. Acoustic Waves, and Device Applications, pp. 1–4 (2013). https://doi.org/10.1109/SPAWDA.2013.6841143

  7. Vivek, R., Vadakkepat, P.: Multiple signal classification (MUSIC) based underwater acoustic localization module (UALM) for AUV. In: 2015 IEEE Underwater Technology (UT), pp. 1–4 (2015). https://doi.org/10.1109/UT.2015.7108288

  8. Majid, M.H.A., Arshad, M.R.: Underwater acoustic source localization strategy by a group of autonomous surface vehicles. In: 2016 IEEE International Conference on Underwater System Technology: Theory and Applications (USYS), pp. 26–31 (2016). https://doi.org/10.1109/USYS.2016.7893941

  9. Wei, Y., Zhu, D., Chu, Z.: Underwater dynamic target tracking of autonomous underwater vehicle based on MPC allgorithm. In: 2018 IEEE 8th International Conference on Underwater System Technology: Theory and Applications (USYS), pp. 1–5 (2018). https://doi.org/10.1109/USYS.2018.8779215

  10. Vasilijevic, A., Nad, D., Miskovic, N.: Autonomous surface vehicles as positioning and communications satellites for the marine operational environment - step toward internet of underwater things. In: 2018 IEEE 8th International Conference on Underwater System Technology: Theory and Applications (USYS), pp. 1–5 (2018). https://doi.org/10.1109/USYS.2018.8778993

  11. Basagni, S., Petrioli, C., Petroccia, R., Spaccini, D.: Channel-aware routing for underwater wireless networks. In: 2012 Oceans - Yeosu, pp. 1–9 (2012). https://doi.org/10.1109/OCEANS-Yeosu.2012.6263538

  12. Yoon, J., Kim, S., Lee, J., Jang, K.: An enhanced friendship-based routing scheme exploiting regularity in an opportunistic network. In: 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), pp. 51–57 (2016). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2016.36

  13. Bing, Q., Jiang, R., Hong, F.: Exploiting social network characteristics for efficient routing in ocean vessel ad hoc networks. In: 2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC), pp. 1–8 (2019). https://doi.org/10.1109/IPCCC47392.2019.8958733

  14. Ashraf, S., Gao, M., Chen, Z., Naeem, H., Ahmad, A., Ahmed, T.: Underwater pragmatic routing approach through packet reverberation mechanism. IEEE Access 8, 163091–163114 (2020). https://doi.org/10.1109/ACCESS.2020.3022565

    Article  Google Scholar 

  15. Qiang, G., Shigeyasu, T., Chen, Ch.: ’A new DTN routing strategies ensuring high message delivery ratio while keeping low power consumption. Internet Things 17 (2022). https://doi.org/10.1016/j.iot.2021.100463

  16. Yan, H., Shi, Z.J., Cui, J.-H.: DBR: depth-based routing for underwater sensor networks. In: Das, A., Pung, H.K., Lee, F.B.S., Wong, L.W.C. (eds.) NETWORKING 2008. LNCS, vol. 4982, pp. 72–86. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-79549-0_7

    Chapter  Google Scholar 

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Correspondence to Elis Kulla .

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Kulla, E., Elmazi, D., Matsuo, K., Barolli, L. (2023). Energy-Aware Depth-Based Routing Protocol for Underwater Wireless Sensor Networks. In: Barolli, L. (eds) Advances in Networked-based Information Systems. NBiS 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-031-40978-3_40

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