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All issues Volume 87 (2026) ITM Web Conf., 87 (2026) 01021 References
Open Access
Issue
ITM Web Conf.
Volume 87, 2026
2nd International Conference on Computing Paradigms (ICCP-2026)
Article Number 01021
Number of page(s) 6
DOI https://doi.org/10.1051/itmconf/20268701021
Published online 30 June 2026
  1. V. Krishnaswamy and S.S. Manvi, “Analysis of acoustic channel in underwater acoustic sensor network,” in Proc. IEEE Int. Advance Computing Conf. (IACC), Bangalore, India, Jun. 12-13, 2015, pp. 233–236. [Google Scholar]
  2. A. Khan, I. Ali, A. Ghani, N. Khan, M. Alsaqer, A.U. Rahman, and H. Mahmood, “Routing protocols for underwater wireless sensor networks: Taxonomy, research challenges, routing strategies and future directions,” Sensors, vol. 18, no. 5, p. 1619, 2018. [Google Scholar]
  3. M.S. Khan, A. Petroni, and M. Biagi, “Cooperative communication-based protocols for underwater wireless sensors networks: A review,” Sensors, vol. 24, no. 8, p. 4248, 2024. [Google Scholar]
  4. J. Luo, Y. Chen, M. Wu, and Y. Yang, “A survey of routing protocols for underwater wireless sensor networks,” IEEE Communications Surveys & Tutorials, vol. 23, no. 1, pp. 137–160, 2021. [Google Scholar]
  5. I.U. Khan, M. Islam, M. Ismail, A.B. Qazi, S. Jan, I. Ullah, Z. Farid, and Z. Wadud, “Adaptive hop-by-hop cone vectorbased forwarding protocol for underwater wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 16, p. 1550147720958305, 2020. [Google Scholar]
  6. P. Nazareth and B.R. Chandavarkar, “Cluster-based multiattribute routing protocol for underwater acoustic sensor networks,” Wireless Personal Communications, vol. 134, pp. 781–808, 2024. [Google Scholar]
  7. D. Jiaxin, H. Guangjie, L. Chuan, and M. Miguel, “Itrust: An anomaly-resilient trust model based on isolation forest for underwater acoustic sensor networks,” IEEE Transactions on Mobile Computing, vol. 21, no. 5, pp. 1684–1696, 2020. [Google Scholar]
  8. R. Zhu, A. Boukerche, L. Long, and Q. Yang, “Design guidelines on trust management for underwater wireless sensor networks,” IEEE Communications Surveys & Tutorials, vol. 26, no. 4, pp. 2547–2576, 2024. [Google Scholar]
  9. H. Panchal and S. Gajjar, “Fuzzy-based unequal clustering protocol for underwater wireless sensor networks,” International Journal of Communication Systems, vol. 36, no. 16, Nov. 2023, doi: 10.1002/dac.5581. [Google Scholar]
  10. M. Kumar, N. Goyal, A.K. Singh, R. Kumar, and A.K. Rana, “Analysis and performance evaluation of computation models for node localization in deep sea using UWSN,” International Journal of Communication Systems, vol. 37, p. e5798, 2024. [Google Scholar]
  11. C.S. Nandyala, H.-W. Kim, and H.-S. Cho, “QTAR: A Q- learning-based topology-aware routing protocol for underwater wireless sensor networks,” Computer Networks, vol. 222, p. 109562, 2023. [Google Scholar]
  12. V. Krishnaswamy and S.S. Manvi, “Trusted node selection in clusters for underwater wireless acoustic sensor networks using fuzzy logic,” Physical Communication, vol. 47, p. 101388, 2021. [Google Scholar]
  13. B. Diao, C. Li, Q. Wang, Z. An, and Y. Xu, “A channelaware routing protocol with nearest neighbor regression for underwater sensor networks,” arXiv preprint arXiv:2108.05057, 2021. [Google Scholar]
  14. A. Celik, N. Saeed, B. Shihada, T.Y. Al-Naffouri, and M.S. Alouini, “Opportunistic routing for opto-acoustic Internet of underwater things,” arXiv preprint arXiv:2002.08420, 2020. [Google Scholar]
  15. M. Salman, J. Bolboli, and W.Y. Chung, “A robust UWOC- assisted multi-hop topology for underwater sensor network nodes,” arXiv preprint arXiv:2403.19180, 2024. [Google Scholar]
  16. A.B. Sarawar, A.S.M. Badrudduza, M. Ibrahim, I.S. Ansari, and H. Yu, “Secrecy performance analysis of integrated RF-UWOC IoT networks enabled by UAV and underwater-RIS,” arXiv preprint arXiv:2407.18766, 2024. [Google Scholar]
  17. H.K.M. Tanaka, “Muometric positioning system (uPS) with cosmic muons as a new underwater and underground positioning technique,” Scientific Reports, vol. 10, p. 18896, 2020, doi: https://doi.org/10.1038/s41598-020-75843-7. [Google Scholar]
  18. R. Kumar, P. Singh, and T.K. Sharma, “SEECR: Secure energy efficient and cooperative routing protocol for underwater wireless sensor networks,” in Proc. IEEE Int. Conf. Advanced Networks and Telecommunications Systems (ANTS), 2020, pp. 1–6. [Google Scholar]
  19. V.P. Natarajan and S. Jayapal, “An improving secure communication using multipath malicious avoidance routing protocol for underwater sensor network,” Scientific Reports, vol. 14, p. 30210, 2024. doi: https://doi.org/10.1038/s41598-024-80976-0. [Google Scholar]
  20. Y. Zhang, N. Wang, and X. Li, “Routing protocol for underwater wireless sensor networks based on a trust model and void-avoided algorithm,” Sensors, vol. 22, no. 24, p. 9525, 2022. [CrossRef] [PubMed] [Google Scholar]
  21. N. Goyal, M. Dave, and A.K. Verma, “A novel fault detection and recovery technique for cluster-based underwater wireless sensor networks,” International Journal of Communication Systems, vol. 31, no. 4, p. e3485, 2018. [Google Scholar]
  22. S. Kumar, B. Kumari, and H. Chawla, “Security challenges and application for underwater wireless sensor network,” in Proc. Int. Conf. Emerg., vol. 2, 2018, pp. 15–21. [Google Scholar]
  23. S. Jiang, “Security in UWANs,” in Wireless Networking Principles: From Terrestrial to Underwater Acoustic. Singapore: Springer, 2018, pp. 337–367, doi.org/10.1007/978-981-10-7775-3_13. [Google Scholar]
  24. J. Luo, Y. Chen, M. Wu and Y. Yang, “A Survey of Routing Protocols for Underwater Wireless Sensor Networks,” in IEEE Communications Surveys & Tutorials, vol. 23, no. 1, pp. 137–160, First quarter 2021, doi: 10.1109/COMST.2020.3048190. [Google Scholar]
  25. K.G. Omeke et al., “DEKCS: A Dynamic Clustering Protocol to Prolong Underwater Sensor Networks,” IEEE Sens J, vol. 21, no. 7, pp. 9457–9464, Apr. 2021, doi: 10.1109/JSEN.2021.3054943. [Google Scholar]

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