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Autonomous and Intelligent Mobile Multimedia Cyber-Physical System with Secured Heterogeneous IoT Network

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Abstract

The Internet of Things (IoT) and smart technologies perform a vital role in gathering data to facilitate extreme environments. These systems offer an autonomous management of real-time multimedia activities and are integrated with future networks. Smart communication and Cyber-Physical Systems (CPS) are tightly integrated with various processes to improve the efficiency, safety, and functionality of mobile networks. In recent decades, many approaches have been proposed to cope with the communication gap between physical objects and heterogeneous devices using adaptive routing techniques. Autonomous Multimedia CPS implementation using sensor technologies is significant for environmental monitoring, surveillance, and smart cities. However, reliable and fault-tolerant CPS communication in multimedia networks remains a research challenge. Most existing schemes deal with device mobility, which consumes energy and high latency communication in a constrained environment. In this research work, we proposed an optimized multimedia communication framework using adaptive intelligence for forwarding routes and decreasing the probability of data loss. It examines environmental parameters and circumstances for a prediction and decision-making system based on Particle Swarm Optimization (PSO). Furthermore, the proposed framework uses edge-enabled security to provide trusted sessions for devices with token-based authentication. Compared to existing work, the proposed framework demonstrates notable performance improvement for throughput, data latency, and alive nodes.

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Acknowledgements

This research was supported by the Artificial Intelligence & Data Analytics (AIDA) lab CCIS Prince Sultan University, Riyadh, Saudi Arabia. All authors are thanked for their support.

The author, Fahad F. Alruwaili, would like to thank the Deanship of Scientific Research at Shaqra University for supporting this research.

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No specific funding received for this research.

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Authors and Affiliations

  1. Artificial Intelligence and Data Analytics (AIDA) Lab, CCIS Prince Sultan University, Riyadh, 12435, Saudi Arabia

    Amjad Rehman, Khalid Haseeb, Anees Ara & Tanzila Saba

  2. Department of Computer & Network Engineering, College of Computing & Information Technology, Shaqra University, Shaqra, Saudi Arabia

    Fahad F. Alruwaili

Authors
  1. Amjad Rehman
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  2. Khalid Haseeb
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  3. Fahad F. Alruwaili
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  4. Anees Ara
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  5. Tanzila Saba
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Contributions

Conceptualization, AR, KH, FA; methodology, AR, KH, AA, FA, software, AR, KH, FA, AA; validation, KH, TS, AA ; writing—original draft preparation, AR, KH, FA, AA, writing—review and editing, AR, KH, TS; visualization,  TS, AA, FA; supervision, AR, AA, FA; project administration, FA, TS, KH; funding, AR, A.A; All authors had approved the final version.

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Correspondence to Fahad F. Alruwaili.

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Rehman, A., Haseeb, K., Alruwaili, F.F. et al. Autonomous and Intelligent Mobile Multimedia Cyber-Physical System with Secured Heterogeneous IoT Network. Mobile Netw Appl (2024). https://doi.org/10.1007/s11036-024-02329-5

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