Void Avoidance in Underwater Acoustic Sensor Network Using Secure Opportunistic Energy Efficient Depth Routing Protocol

Void Avoidance in Underwater Acoustic Sensor Network Using Secure Opportunistic Energy Efficient Depth Routing Protocol

Автор: Ashok Battula, S. Emalda Roslin, W. Florin

Журнал: International Journal of Computer Network and Information Security @ijcnis

Статья в выпуске: 3 vol.15, 2023 года.

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For starters, in UASN, distance between nodes as they move with water current, improved network's energy usage. The second problem with UASNs is void hole occurrence, which affects network performance. Nodes are unable to deliver data to the destination because there are no forwarder nodes (FNs) in the network. As a result, routing in UASNs aims to solve the previously mentioned issues in order to increase the network's lifespan. This research proposed novel technique in Void avoidance in underwater acoustic sensor network (UASN) with improving the energy efficiency of the network and analysing depth with security. In this proposed model, secure opportunistic energy efficient void avoidance protocol (Se_Opp_EE_VA) is used and the depth of the network has been analysed. By avoiding the vacuum zone and balancing network energy with depth analysis and security, the suggested effort extends the network lifetime. Routing techniques must be comprehensive enough to overcome all of these constraints as well as provide an energy-efficient routing that avoids empty zones while also extending network lifetime. The depth factor is used in depth-based algorithms proposed in recent decades to assess the path from sender to sink. They reduce information replication by using the holding time calculation. 81% of QoS, 92% of PDR, 96% of energy efficiency, Network lifetime attained by Proposed Se_Opp_EE_VA is 94%, and 50% of end to end delay have all improved as a result of the simulation.

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Void Avoidance, Underwater Acoustic Sensor Networks, Network Lifetime, Routing Technique, Security

Короткий адрес: https://sciup.org/15018624

IDR: 15018624   |   DOI: 10.5815/ijcnis.2023.03.05

Список литературы Void Avoidance in Underwater Acoustic Sensor Network Using Secure Opportunistic Energy Efficient Depth Routing Protocol

  • K. S. Keerthi, B. Mahapatra, and V. G. Menon, “Into the world of underwater swarm robotics: architecture, communication, applications and challenges,” Recent Advances in Computer Science and Communications, vol. 13, no. 2, pp. 110–119, 2020.
  • J. Yan, Y. Gong, C. Chen, X. Luo, and X. Guan, “AUV-aided localization for Internet of underwater things: a reinforcement-learning-based method,” IEEE Internet of 9ings JournalEEE Internet of 9ings Journal, vol. 7, no. 10, pp. 9728–9746, 2020.
  • W. Zhang, G. Han, X. Wang, M. Guizani, K. Fan, and L. Shu, “A node location algorithm based on node movement prediction in underwater acoustic sensor networks,” IEEE Transactions on Vehicular Technology, IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 3166–3178, 2020.
  • Y. Song, “Underwater acoustic sensor networks with cost efficiency for Internet of underwater things,” IEEE Transactions on Industrial Electronics, in IEEE Transactions on Industrial Electronics, vol. 68, no. 2, pp. 1707–1716, 2021.
  • M. Ismail, M. Islam, I. Ahmad, F. Aslam, and A. Baseer, “Reliable path selection and opportunistic routing protocol for underwater wireless sensor networks,” IEEE Access, vol. 8, pp. 100346–100364, 2020.
  • Khan, Z. A., Karim, O. A., Abbas, S., Javaid, N., Zikria, Y. B., & Tariq, U. (2021). Q-learning based energy-efficient and void avoidance routing protocol for underwater acoustic sensor networks. Computer Networks, 197, 108309.
  • Nazareth, P., &Chandavarkar, B. R. (2021). Location-Free Void Avoidance Routing Protocol for Underwater Acoustic Sensor Networks. Wireless Personal Communications, 1-26.
  • Gola, K. K., Dhingra, M., & Gupta, B. (2020). Void hole avoidance routing algorithm for underwater sensor networks. IET Communications, 14(21), 3837-3844.
  • Khan, G., & Dwivedi, R. K. (2018). Energy efficient routing algorithm for void avoidance in UWSN using residual energy and depth variance. International Journal of Computer Networks & Communications (IJCNC) Vol, 10.
  • Gola, K. K., & Gupta, B. (2021). Underwater acoustic sensor networks: An energy efficient and void avoidance routing based on grey wolf optimization algorithm. Arabian Journal for Science and Engineering, 46(4), 3939-3954.
  • Ghoreyshi, S. M., Shahrabi, A., &Boutaleb, T. (2016, March). An opportunistic void avoidance routing protocol for underwater sensor networks. In 2016 IEEE 30th international conference on advanced information networking and applications (AINA) (pp. 316-323). IEEE.
  • Menon, V., Midhunchakkaravarthy, D., John, S., Jacob, S., & Mukherjee, A. (2020). A secure and energy-efficient opportunistic routing protocol with void avoidance for underwater acoustic sensor networks. Turkish Journal of Electrical Engineering & Computer Sciences, 28(4), 2303-2315.
  • R. Bu, S. Wang, and H. Wang, “Fuzzy logic vector–based forwarding routing protocol for underwater acoustic sensor networks,” Trans. Emerg. Telecommun. Technol.vol. 29, pp. 1–18, 2018.
  • F. Ahmed, Z. Wadud, N. Javaid, N. Alrajeh, M. S. Alabed, and U. Qasim, “Mobile sinks assisted geographic and opportunistic routing-based interference avoidance for underwater wireless sensor network,” Sensors, vol. 18, no. 4, 2018.
  • Z. Rahman, F. Hashim, M. F. A. Rasid, and M. Othman, “Totally opportunistic routing algorithm (TORA) for underwater wireless sensor network,” PLoS One, vol. 13, no. 6, 2018.
  • R. W. L. Coutinho, A. Boukerche, L. F. M. Vieira, and A. A. F. Loureiro, “EnOR: Energy balancing routing protocol for underwater sensor networks,” in Proceedings of the IEEE International Conference on Communications, Paris, France, May 2017.
  • I. U. Khan, M. Islam, M. Ismail et al., “Adaptive hop-by-hop cone vector-based forwarding protocol for underwater wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 16, no. 9, Article ID 15501477209, 2020.
  • M. Zhang and W. Cai, “Energy-efficient depth based probabilistic routing within 2-hop neighborhood for underwater sensor networks,” in IEEE Sensors Letters, vol. 4, no. 6, pp. 1–4, 2020
  • Y. Chen, J. Zhu, L. Wan, S. Huang, X. Zhang, and X. Xu, “ACOA-AFSA fusion dynamic coded cooperation routing for different scale multi-hop underwater acoustic sensor networks,” in IEEE Access, vol. 8, Article ID 186788, 2020.
  • Y. Chen, K. Zheng, X. Fang, L. Wan, and X. Xu, “QMCR: a Q-learning-based multi-hop cooperative routing protocol forunderwater acoustic sensor networks,” in China Communications, vol. 18, no. 8, pp. 224–236, 2021.
  • Zahoor Ali Khan, Obaida Abdul Karim, Shahid Abbas, Nadeem Javaid, Yousaf Bin Zikria, Usman Tariq, “Q-learning based energy-efficient and void avoidance routing protocol for underwater acoustic sensor networks” Computer Networks, Volume 197, 2021, 108309, ISSN 1389-1286.
  • Shahzad Ashraf, Sehrish Saleem, Tauqeer Ahmed, "Sagacious Communication Link Selection Mechanism for Underwater Wireless Sensors Network", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.10, No.4, pp. 22-33, 2020. DOI:10.5815/ijwmt.2020.04.03
  • Manel Baba-Ahmed, "Mobility Aware Strategy for Geographical Routing Schemes in Underwater Acoustic Networks", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.12, No.3, pp. 33-53, 2022.DOI: 10.5815/ijwmt.2022.03.03
  • G. Latif, N. Javaid, A. Sher, M. Khan, T. Hameed and W. Abbas, "An Efficient Routing Algorithm for Void Hole Avoidance in Underwater Wireless Sensor Networks," 2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA), 2018, pp. 305-310, doi: 10.1109/AINA.2018.00054.
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