Abstract
The vast evolution and development of routing algorithms in “Underwater Wireless Sensor Networks (UWSNs)” is to monitor and collects the data for environmental studies and pollution monitoring applications. The UWSNs sensing range from the oil industry to aquaculture. It includes “instrument monitoring, pollution control, climate recording, prediction of natural disturbances, search and survey missions, and study of marine life.” The sensed data can be utilized for various applications and benefit for the humans. The sensor nodes, such as stationary and mobile, are connected through wireless communication modules to transfer various events of interest. Energy efficiency plays a vital role in UWSNs. Sensor nodes are powered by batteries which are difficult to replace or charge once the node is deployed. In this paper, we focus on the survey based on UWSNs routing algorithms, metrics used, critical challenges, and provide recommendations that will shape the focus of future research efforts.
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References
Akyildiz, I.F., Pompili, D., Melodia, T.: Underwater acoustic sensor networks: research challenges. Ad Hoc Netw. 3(3), 257–279 (2005)
Akyildiz, I.F., Wang, P., Lin, S.C.: Softwater: software-defined networking for next-generation underwater communication systems. Ad Hoc Netw. 46, 1–11 (2016)
Chitre, M., Shahabudeen, S., Stojanovic, M.: Underwater acoustic communications and networking: recent advances and future challenges. Mar. Technol. Soc. J. 42(1), 103–116 (2008)
Heidemann, J., Ye, W., Wills, J., Syed, A., Li, Y.: Research challenges and applications for underwater sensor networking. In: IEEE WCNC 2006 Wireless Communications and Networking Conference, 2006, vol. 1, pp. 228–235. IEEE (2006)
Lanbo, L., Shengli, Z., Jun-Hong, C.: Prospects and problems of wireless communication for underwater sensor networks. Wirel. Comm. Mob. Comput. 8(8), 977–994 (2008)
Diao, B., Xu, Y., An, Z., Wang, F., Li, C.: Improving both energy and time efficiency of depth-based routing for underwater sensor networks. Int. J. Distrib. Sens. Netw. 11(10), 781932 (2015)
Jadhao, P., Ghonge, M.: Energy efficient routing protocols for underwater sensor networks-a survey. Energy 1(1) (2015)
Jain, S., Mishra, J.P., Talange, D.: A robust control approach for magnetic levitation system based on super-twisting algorithm. In: 2015 10th Asian Control Conference (ASCC), pp. 1–6. IEEE (2015)
Stojanovic, M., Preisig, J.: Underwater acoustic communication channels: propagation models and statistical characterization. IEEE Commun. Mag. 47(1), 84–89 (2009)
Fang, K., Rugini, L., Leus, G.: Block transmissions over doubly selective channels: iterative channel estimation and turbo equalization. EURASIP J. Adv. Signal Process. 2010(1), 974652 (2010)
Akyildiz, I.F., Pompili, D., Melodia, T.: Challenges for efficient communication in underwater acoustic sensor networks. ACM Sigbed Rev. 1(2), 3–8 (2004)
Yan, H., Shi, Z.J., Cui, J.H.: DBR: depth-based routing for underwater sensor networks. In: International Conference on Research in Networking, pp. 72–86. Springer, Berlin (2008)
Xie, P., Cui, J.H., Lao, L.: VBF: vector-based forwarding protocol for underwater sensor networks. In: International Conference on Research in Networking, pp. 1216–1221. Springer, Berlin (2006)
Hwang, D., Kim, D.: DFR: directional flooding-based routing protocol for underwater sensor networks. In: OCEANS 2008, pp. 1–7. IEEE (2008)
Nicolaou, N., See, A., Xie, P., Cui, J.H., Maggiorini, D.: Improving the robustness of location-based routing for underwater sensor networks. Oceans 2007-Eur. 18 (2007)
Bysani, L.K., Turuk, A.K.: A survey on selective forwarding attack in wireless sensor networks. In: 2011 International Conference on Devices and Communications (ICDeCom), pp. 1–5. (2011)
Bojjagani, S., Sastry, V.: Stamba: security testing for android mobile banking apps. In: Advances in Signal Processing and Intelligent Recognition Systems, pp. 671–683. Springer, Berlin (2016)
Bojjagani, S., Sastry, V.: Vaptai: a threat model for vulnerability assessment and penetration testing of android and ios mobile banking apps. In: 2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC), pp. 77–86. IEEE (2017)
Lloret, J., Sendra, S., Ardid, M., Rodrigues, J.J.: Underwater wireless sensor communications in the 2.4 GHz ISM frequency band. Sens. 12(4), 4237–4264 (2012)
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Venkateswara Rao, P.V., Mohan Krishna Varma, N., Sudhakar, R. (2020). A Systematic Survey on Software-Defined Networks, Routing Protocols and Security Infrastructure for Underwater Wireless Sensor Networks (UWSNs). In: Venkata Krishna, P., Obaidat, M. (eds) Emerging Research in Data Engineering Systems and Computer Communications. Advances in Intelligent Systems and Computing, vol 1054. Springer, Singapore. https://doi.org/10.1007/978-981-15-0135-7_50
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DOI: https://doi.org/10.1007/978-981-15-0135-7_50
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