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Integration of IOT and optical networks for enhanced connectivity and performance

  • Rajni Rani , Sanjive Tyagi und Vikas Sharma EMAIL logo
Veröffentlicht/Copyright: 22. April 2025
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Abstract

The integration of Internet of things (IoT) and optical networks represents a significant evolution in modern communication systems. Optical networks, known for their high bandwidth and low latency, can provide the necessary backbone to support the vast data exchange required by IoT devices. This paper explores the potential of combining IoT with optical networks, analyzing how this convergence can enhance connectivity, increase performance, and tackle the growing demands of future smart environments. Challenges, opportunities, and future directions for this integration are discussed, alongside case studies and applications that showcase the benefits of such an integrated approach.


Corresponding author: Vikas Sharma, Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, Swami Vivekanand Subharti University, Meerut 250005, Uttar Pradesh, India, E-mail:

Acknowledgments

Thanks to all my co author for the support.

  1. Research ethics: NA.

  2. Informed consent: We all are fully responsible for this paper.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The author states no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

References

1. Zhang, H, Zhang, Y. AI-based routing algorithms for MANETs: a survey and future directions. Int J Comput Sci Inf Secur 2021;19:12–22.Suche in Google Scholar

2. Shah, A, Rahman, M. Artificial intelligence techniques in MANETs: applications and challenges. Comput Netw 2020;174:107–20.Suche in Google Scholar

3. Alemu, G, Jafarian, A. Reinforcement learning for efficient routing in mobile Ad hoc networks. Int J Mobile Comput Multimed Commun 2021;13:28–42.Suche in Google Scholar

4. Liu, L, Li, B. Free-space optical communications for MANETs: recent advances and future trends. J Opt Commun Netw 2020;12:350–8.Suche in Google Scholar

5. Khan, S, Raza, S. AI-based routing for smart mobile networks: integration of optical waveguides. Mobile Network Appl 2022;27:1–11.Suche in Google Scholar

6. Hassan, M, Akram, M. Artificial intelligence for traffic management in hybrid wireless networks. J Wirel Commun Netw 2021;2021:20–30.Suche in Google Scholar

7. Wang, T, Zhang, X. Machine learning algorithms for dynamic routing in MANETs. IEEE Trans Mobile Comput 2019;18:760–72.Suche in Google Scholar

8. Jang, S, Park, Y. Intelligent routing protocols in mobile Ad-hoc networks using reinforcement learning. Sensors 2021;21:3813–29.Suche in Google Scholar

9. Li, F, Yu, X. Optical networks in mobile Ad-hoc environments: a survey on waveguide-based routing. Opt Switch Netw 2020;36:48–59.Suche in Google Scholar

10. Ahmed, Z, Hossain, M. Artificial intelligence in MANETs: challenges and future directions. IEEE Access 2021;9:10567–76.Suche in Google Scholar

11. Bai, L, Hu, L. Deep reinforcement learning for routing optimization in optical MANETs. Trans Network Serv Manag 2019;16:1462–74.Suche in Google Scholar

12. Zhu, Z, Wang, S. AI-based path discovery in optical-enabled MANETs. J Opt Commun Netw 2022;14:168–79.Suche in Google Scholar

13. Ghosh, P, Tripathi, A. Optimization of routing algorithms using machine learning in MANETs. Computers 2020;9:130–46.Suche in Google Scholar

14. Yang, K, Zhao, F. A survey on AI-driven routing protocols for mobile Ad- hoc networks. Comput Commun 2020;151:75–88.Suche in Google Scholar

15. Chen, C, Liu, J. Hybrid AI models for dynamic routing in optical-based MANETs. IEEE Trans Wireless Commun 2021;20:345–56.Suche in Google Scholar

16. Zhang, Z, Liu, Z. AI and machine learning techniques for efficient mobile Ad-hoc networks routing. IEEE Wireless Commun 2020;27:54–62.Suche in Google Scholar

17. Zhao, Z, Zhang, S. Optical communication networks in MANETs: challenges and opportunities. Photonic Netw Commun 2021;41:506–15.Suche in Google Scholar

18. Nguyen, T, Tran, D. Reinforcement learning for load balancing in mobile Ad-hoc networks. Comput Netw 2019;160:80–91.Suche in Google Scholar

19. Iqbal, S, Alharthi, M. An AI-based approach for optimized routing in wireless networks. Int J Wireless Mobile Comput 2020;20:406–17.Suche in Google Scholar

20. Gubbi, J, Buyya, R, Marusic, S, Palaniswami, M. Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener Comput Syst 2013;29:1645–60. https://doi.org/10.1016/j.future.2013.01.010.Suche in Google Scholar

21. Sicari, S, Rizzardi, A, Grieco, LA, Coen-Porisini, A. Security, privacy and trust in Internet of Things: the road ahead. Comput Netw 2015;76:146–64. https://doi.org/10.1016/j.comnet.2014.11.008.Suche in Google Scholar

22. Roman, R, Najera, P, Lopez, J. Securing the Internet of Things. Computer 2011;44:51–8. https://doi.org/10.1109/MC.2011.291.Suche in Google Scholar

23. Taleb, T, Samdanis, K, Mada, B, Flinck, H, Dutta, S, Sabella, D. On multi-access edge computing: a survey of the emerging 5G network edge cloud architecture and orchestration. IEEE Commun Surv Tutorials 2017;19:1657–81. https://doi.org/10.1109/comst.2017.2705720.Suche in Google Scholar

24. Christidis, K, Devetsikiotis, M. Blockchains and smart contracts for the Internet of Things. IEEE Access 2016;4:2292–303. https://doi.org/10.1109/ACCESS.2016.2566339.Suche in Google Scholar

25. Zanella, A, Bui, N, Castellani, A, Vangelista, L, Zorzi, M. Internet of Things for smart cities. IEEE Internet Things J 2014;1:22–32. https://doi.org/10.1109/JIOT.2014.2306328.Suche in Google Scholar

Received: 2025-04-04
Accepted: 2025-04-08
Published Online: 2025-04-22

© 2025 Walter de Gruyter GmbH, Berlin/Boston

Heruntergeladen am 8.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/joc-2025-0118/pdf
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