• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology

Article

Indian Journal of Science and Technology

Year: 2023, Volume: 16, Issue: 44, Pages: 4016-4025

Original Article

Secure Fuzzy Simple Shortest Path Routing Protocol (SF_SSP) for Underwater Communication

Received Date:08 August 2023, Accepted Date:19 October 2023, Published Date:21 November 2023

Abstract

Objectives: The primary objective of the protocol is to detect malicious nodes accurately and efficiently. Malicious nodes can disrupt communication, drop packets, or launch various attacks on the network. By using fuzzy logic, this protocol considers multiple parameters and behaviors of nodes to identify potential malicious activities. Methods: In this work, fuzzy logic rules are utilized for evaluating various parameters and behaviors for nodes. Fuzzy inference system with linguistic variables and fuzzy rules is also established. Findings: In UWSN, Security is one of the key points of consideration in implementing the protocol. However current routing protocols have not been designed to defend against security attacks that can degrade the network performance. Since the nodes in UWSN are susceptible to malicious attacks, it is easier for an adversary to operate and to select UWSN channel along with communication nodes. In the UWSN environment, the presence of selfish nodes degrades the performance of the confidence nodes. This presence of selfish nodes in UWSN also leads to connection letdown between communication nodes. In this research work, an intelligent routing technique is introduced to Simple Shortest Path (SSP) routing protocol. We have added fuzzy-based security to SSP that enhances the SSP performance. This research work proposes fuzzy-based selfish node detection and removing those selfish nodes from routing. The parameters which describe the behavior of individual nodes are extracted and evaluated using fuzzy rules. The proposed SF_SSP provides higher throughput and packet Delivery Ratio compared to VBF, and SSP. Novelty: The novelty of detecting malicious nodes in underwater communication lies in its adaptive and robust trust evaluation using fuzzy logic to handle uncertainty and dynamic underwater conditions effectively. In this work, we have strengthened the Simple Shortest Path (SSP) routing scheme by adding fuzzy-based security rules.

Keywords: Dynamic routing, Fuzzy Set, Confidence node, Security, Trust Evaluation

References

  1. Hu Y, Chen L, Sun Y. The Cooperative-Communication Based Underwater Layered Routing Protocol for Underwater Wireless Sensor Network. Wireless Personal Communications. 2022;125(4):3019–3047. Available from: https://doi.org/10.1007/s11277-022-09696-w
  2. Kumar PJS, Ponnusamy M, Radhik R, Dhurgadevi M. Underwater clustering based hybrid routing protocol using fuzzy ELM and hybrid ABC techniques. Journal of Intelligent & Fuzzy Systems. 2023;45(1):831–843. Available from: https://doi.org/10.3233/jifs-230172
  3. Mittal A, Correa FS. Adaptive Fuzzy Optimized Routing based on Maximum Energy Support Routing Protocol using Synchronized Sleep\Awake Model Routing Algorithm for WSN. 2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE). 2023. Available from: https://doi.org/10.1109/icdcece57866.2023.10151019
  4. Han D, Du X, Liu X, Tian X. FCLR: Fuzzy Control-Based Layering Routing Protocol for Underwater Acoustic Networks. IEEE Sensors Journal. 2022;22(23):23590–23602. Available from: https://doi.org/10.1109/jsen.2022.3218136
  5. Kumar A. A new optimized least‐square sparse channel estimation scheme for underwater acoustic communication. International Journal of Communication Systems. 2023;36(6). Available from: https://doi.org/10.1002/dac.5436
  6. Ali F, Jayakody M, DN. SIMO-Underwater Visible Light Communication (UVLC) system. Computer Networks. 2023;232:109750. Available from: https://doi.org/10.1016/j.comnet.2023.109750
  7. Sun K, Han B, Yang J, Li B, Zhang B, Liu K, et al. Study on the Influence of Underwater LED Illumination on Bidirectional Underwater Wireless Optical Communication. Photonics. 2023;10(5):596. Available from: https://doi.org/10.3390/photonics10050596
  8. Zhu Z, Zhou Y, Wang R, Tong F. Internet of Underwater Things Infrastructure: A Shared Underwater Acoustic Communication Layer Scheme for Real-world Underwater Acoustic Experiments. IEEE Transactions on Aerospace and Electronic Systems. 2023;p. 1–14. Available from: https://doi.org/10.1109/taes.2023.3281531
  9. M SV. Underwater Image Enhancement. International Journal of Advanced Research in Computer and Communication Engineering. 2023;12(3). Available from: https://doi.org/10.17148/ijarcce.2023.12330
  10. More S, Bartakke P, Aggrawal M. Multipath Modeling under Tank Environment for Underwater Acoustic Communication. 2021 Advanced Communication Technologies and Signal Processing (ACTS). 2021. Available from: https://doi.org/10.1109/acts53447.2021.9708257
  11. Ma H, Teng J, Hu T, Shi P, Wang S. Co-communication Protocol of Underwater Sensor Networks with Quantum and Acoustic Communication Capabilities. Wireless Personal Communications. 2020;113(1):337–347. Available from: https://doi.org/10.1007/s11277-020-07192-7
  12. Kida Y, Deguchi M, Watanabe Y, Shimura T. Experiments for long-range high-rate underwater acoustic MIMO communication using adaptive passive time reversal. 2023 IEEE Underwater Technology (UT). 2023. Available from: https://doi.org/10.1109/ut49729.2023.10103409
  13. Zhang Y, Chang J, Liu Y, Xing L, Shen X. Deep learning and expert knowledge based underwater acoustic OFDM receiver. Physical Communication. 2023;58:102041. Available from: https://doi.org/10.1016/j.phycom.2023.102041
  14. Prasad SKR, Gurugopinath S. Deep Learning Techniques for Detection of Underwater Acoustic Sources. 2023 11th International Conference on Internet of Everything, Microwave Engineering, Communication and Networks (IEMECON). 2023. Available from: https://doi.org/10.1109/iemecon56962.2023.10092324
  15. Madhu R, Kumar MNVSS, Umamaheswararao S. Wireless underwater channel modelling for acoustic communication. International Journal of Computational Vision and Robotics. 2023;1(1):1. Available from: https://doi.org/10.1504/ijcvr.2023.10054629
  16. Lidstrom V. Polar Coded Non-Coherent Acoustic Underwater Communication. 2021 Fifth Underwater Communications and Networking Conference (UComms). 2021. Available from: https://doi.org/10.1109/ucomms50339.2021.9598134

Copyright

© 2023 Shahapur et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)

DON'T MISS OUT!

Subscribe now for latest articles and news.