1- M. Ayaz, I. Baig, A. Abdullah and I. Faye, “A survey on routing techniques in underwater wireless sensor networks,” Journal of Network and Computer Applications, vol. 34, no. 6, pp. 1908-1927, Nov. 2011.
2- A. Khasawneh,M. Shafie Bin Abd Latiff, O. Kaiwartya and H. Chizari, “A reliable energy-efficient pressure-based routing protocol for underwater wireless sensor network,” Wireless Networks, 24, pp. 2061-2075, Feb. 2017.
3- A. Ahmad, A. Sheeraz, M. Alam, I. Azim Niaz and N. Javaid, “On energy efficiency in underwater wireless sensor networks with cooperative routing,” Telecommun, vol. 72, pp. 173-188, Jan. 2017.
4- S. Lee, Y. Jeong, E. Moon and D. Kim, “An Efficient MOP Decision Method Using Hop Interval for RPL-Based Underwater Sensor Networks,” Wireless Personal Communications, vol. 93, no. 4, April 2017.
5- N. Goyal, M. Dave and A. K. Verma, “Improved Data Aggregation for Cluster Based Underwater Wireless Sensor Networks,” of the National Academy of Sciences, India Section A: Physical Sciences, vol. 87, pp. 235-245, Feb. 2017.
6- C. Zidi, F. Bouabdallah and R. Boutaba, “Routing design avoiding energy holes in underwater acoustic sensor networks,” Wireless Communicationsand Mobile Computing, Feb. 2016, doi.org/10.1002/wcm.2666.
7- J. Li, X. Jiang and IT. Lu, “Energy Balance Routing Algorithm Based on Virtual MIMO Scheme for Wireless Sensor Networks,” Journal of Sensors, 2014, Article ID 589249, doi.org/10.1155/2014/589249.
8- Ahmed, N. Javaid, FA. Khan, MY. Durrani, A. Ali, A. Shaukat, MM. Sandhu, ZA. Khan and U. Qasim, “Co-UWSN: Cooperative Energy-Efficient Protocol for Underwater WSNs,” Int. Journal of Distributed Sensor Networks, April 2015, doi.org/10.1155/2015/891410.
9- A. Joshi, S. Dhongdi, R. Sethunathan, P. Nahar and K. R. Anupama, “Energy Efficient Clustering Based Network Protocol Stack for 3D Airborne Monitoring System,” Journal of Computer Networks and Communications, 2017, Article ID 8921261, doi.org/10.1155/2017/8921261.
10- N. Goyal, M. Dave and A.K. Verma, “Data aggregation in underwater wireless sensor network: Recent approaches and issues,” Journal of King Saud University-Computer and Information Sciences, vol. 31, no. 3, pp. 275-286, July 2019.
11- K. Ovaliadis and N. Savage, “Cluster protocols in Underwater Sensor Networks: A Research Review,” Journal of Engineering Science and Technology Review , vol. 7, no. 3, pp. 171-175, July 2014.
12- M. Hong, Ch. Yookun and H. Junyoung, “Enhancing the Reliability of Head Nodes in Underwater Sensor Networks,” Sensors, vol. 12, no. 2, pp.1194-1210, Dec. 2012.
13- S. Kumar and R. Sethi, “An Improved Clustering Machanism to Improve NeworkLife for Underwater WSN,” Journal of Emerging Trends & Technology in Computer Science (IJETTCS), vol. 2, no. 3, pp. 43-47, 2013.
14- R.M. Gomathi , J. Martin Leo Manickam, A. Sivasangari, P. Ajitha, "Energy efficient dynamic clustering routing protocol in underwater wireless sensor networks," Journal of Networking and Virtual Organisations, vol. 22, no. 4, pp. 415-432, April 2020.
15- Nassiri, M. Karimi, R. Mohammadi, and M. Abbasi, “EEARP - an Efficient and Energy Aware Routing Protocol for Underwater Wireless Sensor Networks,” ECTI-Trans. Electrical Eng. Electronics & Comm., vol. 18, no. 2, pp. 145-157, August 2020.
16- S. Saxena, S. Mishra and M. Singh, “Clustering Based on Node Density in Heterogeneous Under-Water Sensor Network,” Journal of Information Technology and Computer Science, vol. 5, no. 7, pp.49-55, June 2013.
17- N. Goyal, M. Dave and A. Verma, “Fuzzy Based Clustering and Aggregation Technique for Under Water Wireless Sensor Networks,” Conference on Electronics and Communication System (lCECS), 2014, Coimbatore, India.
18- S. Souiki, M. Hadjila and M. Feham, “Fuzzy Based Clustering and Energy Efficient Routing for Underwater Wireless Sensor Networks”, Journal of Computer Networks & Communications (IJCNC), vol.7, no. 2, pp. 33-44, March 2015.
19- S.K. Singh, R. Duvvuru, J.P. Singh, “Performance Impact of TCP and UDP on the Mobility Models and Routing Protocols in MANET,” In: Mohapatra D.P., Patnaik S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, vol 243. 2014, Springer, New Delhi. https://doi.org/10.1007/978-81-322-1665-0_90.