Abstract
Underwater Wireless Sensor Networks (UWSNs) have the characteristics of high energy consumption, low transmission rate, and narrow bandwidth. How to extend the lifespan of UWSNs is a research hotspot of underwater routing protocols. An adaptive routing protocol (ARPA) based on autonomous underwater vehicle (AUV) is proposed in this paper. In the phase of network layering, ARPA takes AUV as the sink node to dynamically layer the network. In the data transmission stage, the next hop forwarding node that meets the requirements is selected based on the horizontal and vertical mechanism. In this paper, the ARPA is verified by the network simulator NS-3. The simulation results show that compared with the existing underwater routing protocols, the ARPA not only guarantees the efficient and stable data transmission rate but also reduces the network delay and improves the energy utilization rate.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Akyildiz, I.F., Pompili, D., Melodia, T.: Underwater acoustic sensor networks: research challenges. Ad Hoc Netw. 3(3), 257–279 (2005)
Xu, W., et al.: Marine information gathering, transmission, processing, and fusion: current status and future trends. Scientia Sinica Informationis 46(8), 1053–1085 (2016)
Alfouzan, F., Shahrabi, A., Ghoreyshi, S.M., Boutaleb, T.: Efficient depth-based scheduling MAC protocol for underwater sensor networks. In: 2017 Ninth International Conference on Ubiquitous and Future Networks (ICUFN), pp. 827–832 (2017)
Alfouzan, F., Shahrabi, A., Ghoreyshi, S.M., Boutaleb, T.: Performance comparison of sender-based and receiver-based scheduling MAC protocols for underwater sensor networks. In: 2016 19th International Conference on Network-Based Information Systems (NBIS), pp. 99–106 (2016)
Souiki, S., Hadjila, M., Feham, M.: Energy efficient routing for mobile underwater wireless sensor networks. In: 2015 12th International Symposium on Programming and Systems (ISPS), pp. 1–6 (2015)
Souiki, S., Hadjila, M., Feham, M.: Clustering combined with bio inspired routing in underwater wireless sensor networks. In: Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication (ACM), p. 62 (2015)
Hao, K., Shen, H., Liu, Y., Wang, B., Du, X.: Integrating localization and energy-awareness: a novel geographic routing protocol for underwater wireless sensor networks. Mob. Netw. Appl. 23(5), 1427–1435 (2018)
Su, R., Venkatesan, R., Li, C.: An energy-efficient asynchronous wake-up scheme for underwater acoustic sensor networks. Wirel. Commun. Mob. Comput. 16(9), 1158–1172 (2016)
Khan, J.U., Cho, H.S.: Data-gathering scheme using AUVS in large-scale underwater sensor networks: a multihop approach. Sensors 16(10), 1626 (2016)
Ghoreyshi, S.M., Shahrabi, A., Boutaleb, T.: An efficient AUV-aided data collection in underwater sensor networks. In: 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), pp. 281–288 (2018)
Xie, P., Cui, J.H., Lao, L.: VBF: vector-based forwarding protocol for underwater sensor networks. In: Boavida, F., Plagemann, T., Stiller, B., Westphal, C., Monteiro, E. (eds.) NETWORKING 2006. LNCS, vol. 3976, pp. 1216–1221. Springer, Heidelberg (2006). https://doi.org/10.1007/11753810_111
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.) Ad Hoc and Sensor Networks, Wireless Networks, Next Generation Internet, NETWORKING 2008. LNCS, vol. 4982, pp. 72–86. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-79549-0_7
Noh, Y., Lee, U., Wang, P., Choi, B.S.C., Gerla, M.: VAPR: Void-aware pressure routing for underwater sensor networks. IEEE Trans. Mob. Comput. 12(5), 895–908 (2013)
Lan, S., Du, X., Liu, F., Feng, Z.X.: Level-based adaptive geo-routing for underwater sensor network. Appl. Res. Comput. 31(1), 236–238 (2014)
Sozer, E.M., Stojanovic, M., Proakis, J.G.: Underwater acoustic networks. IEEE J. Oceanic Eng. 25(1), 72–83 (2000)
Acknowledgments
This research was supported by Tianjin Natural Science Fund Project 18JCYBJC85600, Qinghai Key Laboratory of Internet of Things Project (2017-ZJ-Y21), Tianjin Enterprise Science and Technology Commissioner Project 18JCTPJC60500, Infrared Radiation Heating Intelligent Control and Basic Ventilation Auxiliary Engineering System Development of No. 2 Section of Changchun Metro Line 2 (hx 2018-37).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Ding, Y., Li, C., Hao, K., Du, X., Zhao, L., Liu, Q. (2019). Adaptive Routing Protocol for Underwater Wireless Sensor Network Based on AUV. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 286. Springer, Cham. https://doi.org/10.1007/978-3-030-22968-9_49
Download citation
DOI: https://doi.org/10.1007/978-3-030-22968-9_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-22967-2
Online ISBN: 978-3-030-22968-9
eBook Packages: Computer ScienceComputer Science (R0)