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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
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)
Stojanovic, M.: Underwater acoustic communication. In: Wiley Encyclopedia of Electrical and Electronics Engineering (1999). https://doi.org/10.1002/047134608X.W5411
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
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)
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)
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
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
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
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
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
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
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
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
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
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
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-40978-3_40
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-40977-6
Online ISBN: 978-3-031-40978-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)