Abstract
Underwater Wireless Sensor Networks (UWSN) consists of various sensors and other components that communicate with each other. UWSN has several uses such as seismic monitoring, subsurface navigation and catastrophe prediction and avoidance. This could lead to issues with power consumption, battery life, time synchronization, location, and sensor installation, among others. Security is also an important consideration for UWSN, as it is vulnerable to attacks. In order to reduce power consumption and counter security threats, an innovative Energy-aware Routing protocol (EWR) is proposed that uses an Improved Circle Search Algorithm (ICSA). EWR employs cooperative routing to improve network efficiency and performance. Finally, the performance of the suggested technique is evaluated using simulations run on NS2 software and results are compared to state-of-the-art protocols like IWDT, RE-PBR, and SEECR based on several metrics, including detection accuracy, energy consumption, transmission loss, throughput, and latency. It shows that the suggested method outperforms the alternatives with more efficiency and better performance.
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The data used to support the findings of this study are available from the corresponding author upon request
References
Ahn, J., Yasukawa, S., Sonoda, T., Nishida, Y., Ishii, K., & Ura, T. (2018). An optical image transmission system for deep sea creature sampling missions using autonomous underwater vehicle. IEEE Journal of Oceanic Engineering, 45(2), 350–361.
Renga, A., Graziano, M. D., & Moccia, A. (2018). Segmentation of marine SAR images by sublook analysis and application to sea traffic monitoring. IEEE Transactions on Geoscience and Remote Sensing, 57(3), 1463–1477.
Koutserimpas, T. T., & Fleury, R. (2018). Electromagnetic waves in a time periodic medium with step-varying refractive index. IEEE Transactions on Antennas and Propagation, 66(10), 5300–5307.
Zhu, A. Z., Thakur, D., Özaslan, T., Pfrommer, B., Kumar, V., & Daniilidis, K. (2018). The multivehicle stereo event camera dataset: An event camera dataset for 3D perception. IEEE Robotics and Automation Letters, 3(3), 2032–2039.
Goetschalckx, K., Moons, B., Lauwereins, S., Andraud, M., & Verhelst, M. (2018). Optimized hierarchical cascaded processing. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 8(4), 884–894.
Hu, S., Rusek, F., & Edfors, O. (2018). Beyond massive MIMO: The potential of data transmission with large intelligent surfaces. IEEE Transactions on Signal Processing, 66(10), 2746–2758.
Yao, Z., Tiwari, S., Lu, T., Rivera, J., Luong, K. Q., Candler, R. N., Carman, G. P., & Wang, Y. E. (2019). Modeling of multiple dynamics in the radiation of bulk acoustic wave antennas. IEEE Journal on Multiscale and Multiphysics Computational Techniques, 5, 5–18.
Kianmehr, E., Nikkhah, S., Vahidinasab, V., Giaouris, D., & Taylor, P. C. (2019). A resilience-based architecture for joint distributed energy resources allocation and hourly network reconfiguration. IEEE Transactions on Industrial Informatics, 15(10), 5444–5455.
Erdem, H. E., Yildiz, H. U., & Gungor, V. C. (2019). On the lifetime of compressive sensing based energy harvesting in underwater sensor networks. IEEE Sensors Journal, 19(12), 4680–4687.
Gong, Z., Li, C., & Jiang, F. (2018). AUV-aided joint localization and time synchronization for underwater acoustic sensor networks. IEEE Signal Processing Letters, 25(4), 477–481.
Han, G., Tang, Z., He, Y., Jiang, J., & Ansere, J. A. (2019). District partition-based data collection algorithm with event dynamic competition in underwater acoustic sensor networks. IEEE transactions on industrial informatics, 15(10), 5755–5764.
Hou, R., He, L., Hu, S., & Luo, J. (2018). Energy-balanced unequal layering clustering in underwater acoustic sensor networks. IEEE Access, 6, 39685–39691.
Sun, Y., Yuan, Y., Li, X., Xu, Q., & Guan, X. (2018). An adaptive sampling algorithm for target tracking in underwater wireless sensor networks. IEEE Access, 6, 68324–68336.
Zhang, J., Cai, M., Han, G., Qian, Y., & Shu, L. (2020). Cellular clustering-based interference-aware data transmission protocol for underwater acoustic sensor networks. IEEE Transactions on Vehicular Technology, 69(3), 3217–3230.
Khasawneh, A., Latiff, M. S. B. A., Kaiwartya, O., & Chizari, H. (2018). A reliable energy-efficient pressure-based routing protocol for underwater wireless sensor network. Wireless Networks, 24(6), 2061–2075.
Wang, M., Chen, Y., Sun, X., Xiao, F., & Xu, X. (2020). Node energy consumption balanced multi-hop transmission for underwater acoustic sensor networks based on clustering algorithm. IEEE Access, 8, 191231–191241.
Yan, J., Yang, X., Luo, X., & Chen, C. (2018). Energy-efficient data collection over AUV-assisted underwater acoustic sensor network. IEEE Systems Journal, 12(4), 3519–3530.
Qais, M. H., Hasanien, H. M., Turky, R. A., Alghuwainem, S., Tostado-Véliz, M., & Jurado, F. (2022). Circle search algorithm: A geometry-based metaheuristic optimization algorithm. Mathematics, 10(10), 1626.
Qais, M. H., Hasanien, H. M., Turky, R. A., Alghuwainem, S., Loo, K. H., & Elgendy, M. (2022). Optimal PEM fuel cell model using a novel circle search algorithm. Electronics, 11(12), 1808.
Qais, M. H., Hasanien, H. M., Alghuwainem, S., Loo, K. H., Elgendy, M. A., & Turky, R. A. (2022). Accurate three-diode model estimation of photovoltaic modules using a novel circle search algorithm. Ain Shams Engineering Journal, 13(3), 101824.
Imoize, A.L., Ajibola, O.A., Oyedare, T.R., Ogbebor, J.O. and Ajose, S.O., 2021. Development of an energy-efficient wireless sensor network model for perimeter surveillance. International Journal of Electrical Engineering and Applied Sciences (IJEEAS), 4(1).
Kuthe, A. and Sharma, A.K., 2021, October. Review paper on Design and Optimization of Energy Efficient Wireless Sensor Network Model for Complex Networks. In 2021 5th International Conference on Information Systems and Computer Networks (ISCON) (pp. 1–3). IEEE.
Singh, S. (2017). Energy efficient multilevel network model for heterogeneous WSNs. Engineering Science and Technology, an International Journal, 20(1), 105–115.
Saeed, K., Khalil, W., Ahmed, S., Ahmad, I., & Khattak, M. N. K. (2020). SEECR: Secure energy efficient and cooperative routing protocol for underwater wireless sensor networks. IEEE Access, 8, 107419–107433.
Deepak, S. P., & Mukeshkrishnan, M. B. (2022). Secured route selection using E-ACO in underwater wireless sensor networks. Intelligent Automation & Soft Computing, 32(2), 963.
Shah, S., Khan, A., Ali, I., Ko, K. M., & Mahmood, H. (2018). Localization free energy efficient and cooperative routing protocols for underwater wireless sensor networks. Symmetry, 10(10), 498.
Asad, A., Amir, A., Farhan, M., & Muhammad, K. (2024). Enhanced fuzzy logic zone stable election protocol for cluster head election (E-FLZSEPFCH) and multipath routing in wireless sensor networks. Ain Shams Engineering Journal, 15(2), 102356.
Altaweel, A., Aslam, S., & Kamel, I. (2024). JamholeHunter: On detecting new wormhole attack in opportunistic mobile networks. Journal of Network and Computer Applications, 230, 103953. https://doi.org/10.1016/j.jnca.2024.103953
Subhash, S., Adnan, M., & Quan, Z. (2024). Understanding the trustworthiness management in the social Internet of things: A survey. Computer Networks, 26, 110611.
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All authors contributed to the study conception and design. Introduction and Related work were performed by Suresh P and Kishor Kumar Sadasivuni. Problem formulation, proposed methodology and Results were done by Nithya R and Keerthika P. All authors read and approved the final manuscript.
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Suresh, P., Keerthika, P., Nithya, R. et al. EWR-ICSA: Energy Aware Secured Routing Protocol Based Underwater Wireless Sensor Networks Using Improved Circle Search Algorithm. Wireless Pers Commun 138, 2135–2154 (2024). https://doi.org/10.1007/s11277-024-11556-8
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DOI: https://doi.org/10.1007/s11277-024-11556-8