Balancing Energy and Stability: An Intelligent Routing Solution for IIoT Using the Artificial Rabbit Algorithm
الموضوعات : journal of Artificial Intelligence in Electrical Engineering
یاسر علمی سولا
1
,
Maedeh Robat Sarpooshi
2
1 - دانشکده مهندسی کامپیوتر و فناوری اطلاعات، دانشگاه آزاد اسلامی، سبزوار ، ایران
2 - دانشگاه آزاد اسلامی- واحد سبزوار
الکلمات المفتاحية: Industrial Internet of Things, intelligent routing, Artificial Rabbit Algorithm, wireless sensor network, multi-criteria optimization, metaheuristic algorithms.,
ملخص المقالة :
With the rapid expansion of the Industrial Internet of Things (IIoT), the need for intelligent and multi-criteria algorithms for optimizing routing in industrial wireless sensor networks is increasingly felt. Energy constraints, low link stability, and data transmission delays are among the fundamental challenges in this field. In this paper, a new metaheuristic algorithm titled the Artificial Rabbit Algorithm is proposed, inspired by the social behavior of rabbits in nature, aiming to find optimal communication paths. This algorithm operates in two main phases: exploration and exploitation, utilizing a multi-criteria objective function that includes energy consumption, communication delay, average link stability, and the number of intermediate nodes. To evaluate the algorithm's performance, results were compared with similar state-of-the-art routing algorithms. The results from statistical and comparative analysis show that the proposed method outperforms in most metrics and has achieved a suitable balance among key criteria. Advantages such as ease of implementation, balanced energy consumption, high stability, and rapid execution make this algorithm a suitable option for time-sensitive and resource-constrained industrial environments.
[1] Y. Zhang and Z. Chen, "Routing optimization in Industrial IoT," IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2567–2580, 2021.
[2] X. Li, J. Wang, and Y. Liu, "Challenges and opportunities in IoT routing: A comprehensive review," IEEE Communications Surveys & Tutorials, vol. 23, no. 2, pp. 1026–1060, 2021.
[3] S. Kumar and K. Singh, "A survey on routing protocols for Industrial IoT," Journal of Network and Computer Applications, vol. 165, p. 102673, 2020.
[4] Y. Xu, Q. Zhang, L. Wang, and T. Li, "HRL-TSCH: Hierarchical Reinforcement Learning-based Time Slot Scheduling for Industrial IoT," Computer Networks, vol. 240, p. 110123, 2024.
[5] A. Ali, M. A. Khan, and A. Rahim, "AI-EECR: Energy-efficient and trustworthy clustering and routing for VANETs," IEEE Sensors Journal, vol. 22, no. 12, pp. 10900–10910, 2022.
[6] H. Yu, C. Wang, and X. Zhou, "Privacy-preserving federated deep reinforcement learning for IIoT," IEEE IoT Journal, vol. 9, no. 16, pp. 14722–14734, 2022.
[7] Y. Mehmood et al., "A dynamic Q-learning-based routing mechanism for Industrial IoT," Computers & Electrical Engineering, vol. 102, p. 108155, 2022.
[8] J. Feng et al., "Secure routing in IIoT using federated Q-learning," Journal of Industrial Information Integration, vol. 36, p. 101317, 2023.
[9] H. Rahmani et al., "Trust-based deep learning for secure IIoT routing," IEEE Transactions on Industrial Informatics, vol. 19, no. 3, pp. 3430–3441, 2023.
[10] L. Wang and X. Li, "Artificial Rabbits Optimization: A novel bio-inspired algorithm," Journal of Computational Science, vol. 58, p. 101524, 2022.
[11] S. Rezaei and M. Ahmadi, "A review of routing methods in the Internet of Things focusing on Ant Colony Algorithm," Computer Engineering Quarterly, vol. 12, no. 3, pp. 45–60, 2022.
[12] N. Karimi and F. Hosseini, "Application of PSO algorithm in reducing energy consumption in wireless sensor networks," Advanced Information and Communication Technology Journal, vol. 10, no. 2, pp. 89–102, 2021.
[13] M. Abbas, S. A. Hassan, and M. H. Rehmani, "MHSEER: Secure and energy-efficient routing protocol," IEEE Access, vol. 11, pp. 12455–12468, 2023.
[14] D. Kumar, R. Patel, and M. Thakur, "Energy-efficient data fusion and routing in IoT using ACO," Journal of Ambient Intelligence and Humanized Computing, vol. 14, no. 3, pp. 4567–4580, 2023.
[15] S. Mahalakshmi, M. Rajesh, and B. Devi, "HACOSMO: Hybrid ACO and SMO for routing in IIoT," Applied Soft Computing, vol. 131, p. 109681, 2023.
[16] J. Deng et al., "Hybrid GA-PSO algorithm for clustering and routing in IIoT," Future Generation Computer Systems, vol. 115, pp. 245–258, 2021.
[17] M. Saleem et al., "BAT algorithm for energy-aware routing in Industrial IoT," Ad Hoc Networks, vol. 103, p. 102130, 2020.
