Skip to main content
SpringerLink
Log in

Energy–Efficient Distribution of Resources in Cyber-Physical Internet of Things with 5G/6G Communication Framework

  • Research
  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Using a model with a central controller, sensors, and actuators, this research explores the complex dynamics of cyber-physical systems (CPS) and the Internet of Things (IoT) in industrial sectors. Taking into account energy efficiency and channel allocation, the communication structure is thoroughly investigated, including 5G/6G-enabled CPS–IoT. The resource allocation problem is formulated and the model’s adaptability is enhanced by include virtual devices. The goal of the study is to maximise the utility function while following certain limitations on channel allocation, power transmission, and data rates. A MINLP problem, which stands for mixed-integer nonlinear programming, is used to formulate the problem. This work provides valuable insights into power allocation algorithms for sensors and actuators, allowing for maximum energy utilisation through effective use of energy resources utilising the maximum Hungarian approach. The article concludes with algorithms for effective power allocation, which improve the performance of CPS–IoT systems in industrial environments by achieving severe system requirements while maximising energy economy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

Data Availability

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study.

References:

  1. H. L. Gururaj, R. Natarajan, N. A. Almujally, F. Flammini, S. Krishna and S. K. Gupta, Collaborative Energy-Efficient Routing Protocol for Sustainable Communication in 5G/6G Wireless Sensor Networks, in IEEE Open Journal of the Communications Society, vol. 4, pp. 2050-2061, 2023. https://doi.org/10.1109/OJCOMS.2023.3312155

  2. Benson, M. E., Okafor, K. C., Ezema, L. S., Chukwuchekwa, N., Adebisi, B., & Anthony, O. C. (2024). Heterogeneous cyber-physical network coexistence through interference contribution rate and uplink power control algorithm (ICR-UPCA) in 6G edge cells. Internet of Things, 25, 101031.

    Article  Google Scholar 

  3. Almutairi, M. S. (2022). Deep learning-based solutions for 5G network and 5G-enabled Internet of vehicles: Advances, meta-data analysis, and future direction. Mathematical Problems in Engineering, 2022, 1–27.

    Article  Google Scholar 

  4. Mishra, A., & Ray, A. K. (2021). Energy-efficient design of wireless sensor mote using mobile-edge computing and novel scheduling mechanism for self-sustainable next-gen cyber physical system. In 2021 Second International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE) (pp. 1–8). IEEE.

  5. Krishnamoorthy, R., Soubache, I. D., & Jain, S. (2022). Wireless communication based evaluation of power consumption for constrained energy system. Wireless Personal Communications, 127, 737–748. https://doi.org/10.1007/s11277-021-08402-6

    Article  Google Scholar 

  6. Gupta, A., & Fernando, X. (2021). Exploring secure visible light communication in next-generation (6G) internet-of-things. In: 2021 International Wireless Communications and Mobile Computing (IWCMC) (pp. 2090–2097). IEEE

  7. Franco, P., Martínez, J. M., Kim, Y. C., & Ahmed, M. A. (2022). A cyber-physical approach for residential energy management: Current state and future directions. Sustainability, 14(8), 4639.

    Article  Google Scholar 

  8. Al Amin, A., Hong, J., Bui, V. H., & Su, W. (2023). Emerging 6G/B6G wireless communication for the power infrastructure in smart cities: Innovations, challenges, and future perspectives. Algorithms, 16(10), 474.

    Article  Google Scholar 

  9. Mostaani, A., Vu, T. X., Sharma, S. K., Nguyen, V. D., Liao, Q., & Chatzinotas, S. (2022). Task-Oriented Communication Design in Cyber-Physical Systems: A Survey on Theory and Applications, in IEEE Access, vol. 10, pp. 133842–133868. https://doi.org/10.1109/ACCESS.2022.3231039.

    Article  Google Scholar 

  10. Yuvaraj, D., Kumar, V. P., Anandaram, H., Samatha, B., Krishnamoorthy, R., Thiyagarajan, R. (2022). Secure de-duplication over wireless sensing data using convergent encryption. In: 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), Bangalore, India. (pp. 1-5). https://doi.org/10.1109/GCAT55367.2022.9971983

  11. Gupta, D., Sathiyasekar, K., Krishnamoorthy, R., Arun, S., Thiyagarajan, R., Padmapriya, S. (2022). Proposed GA algorithm with H-heed protocol for network optimization using machine learning in wireless sensor networks. In: 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India, (pp. 1402–1408). https://doi.org/10.1109/ICAIS53314.2022.9743120

  12. Akbar, M. S., Hussain, Z., Sheng, Q. Z., &Mukhopadhyay, S. (2022). 6G survey on challenges, requirements, applications, key enabling technologies, use cases, AI integration issues and security aspects. Preprint retrieved from arXiv:2206.00868

  13. Mattingley, J., & Boyd, S. (2010). Real-time convex optimization in signal processing. IEEE Signal Processing Magazine, 27(3), 50–61.

    Article  Google Scholar 

  14. Anand, S. J., Krishnamoorthy, R., Kumar, U. S., & Kamalakkannan, D. (2022). An effective hybrid mobility aware energy efficient low latency protocol (HMEL-MAC) for wireless sensor network. Cybernetics and Systems. https://doi.org/10.1080/01969722.2022.2157598

    Article  Google Scholar 

  15. Schaible, S. (1976). Fractional programming. II, on Dinkelbach’s algorithm. Management Science, 22(8), 868–873.

    Article  MathSciNet  Google Scholar 

  16. Krishnamoorthy, R., Desai, A., Patel, R., et al. (2021). 4 Element compact triple band MIMO antenna for sub-6 GHz 5G wireless applications. Wireless Networks, 27, 3747–3759. https://doi.org/10.1007/s11276-021-02734-8

    Article  Google Scholar 

Download references

Funding

No funding.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, 500043, India

    Allam Balaram

  2. Department of ECE, Sri Vasavi Engineering College, Tadepalligudem, Andhra Pradesh, 534101, India

    T. D. N. S. S. Sarveswara Rao

  3. Department of Electronics and Communication, Vaagdevi College of Engineering, Warangal, Telangana, 506002, India

    Pankaj Rangaree

  4. Department of Computer Science, College of Engineering and Computer Science, Jazan University, 45142, Jazan, Saudi Arabia

    Shams Tabrez Siddiqui

  5. Department of Electronics and Communication Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India

    Anandbabu Gopatoti

  6. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur District, Andhra Pradesh, 522302, India

    Lakshmana Phaneendra Maguluri

Authors
  1. Allam Balaram
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. T. D. N. S. S. Sarveswara Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pankaj Rangaree
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shams Tabrez Siddiqui
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Anandbabu Gopatoti
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Lakshmana Phaneendra Maguluri
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Allam Balaram and T. D. N. S. S. Sarveswara Rao contributed to do Design, T. D. N. S. S. Sarveswara Rao and Pankaj Rangaree contributed for Interpretation of results, Shams Tabrez Siddiqui and Anandbabu Gopatoti wrote the main manuscript, Lakshmana Phaneendra Maguluri contributed towards preparation of figures, All authors reviewed the results and approved the final version of the manuscript.

Corresponding author

Correspondence to Allam Balaram.

Ethics declarations

Conflict of interest

No, I declare that the authors have no competing interests as defined by Springer, or other interests that might be perceived to influence the results and/or discussion reported in this paper.

Ethical Approval

Not applicable.

Consent for Publication

The authors certify that this material or similar material has not been and will not be submitted to or published in any other publication before. Furthermore, the authors certify that they have participated sufficiently in the work to take public responsibility for the content, including participation in the concept, design, analysis, writing, or revision of the manuscript.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Balaram, A., Rao, T.D.N.S.S.S., Rangaree, P. et al. Energy–Efficient Distribution of Resources in Cyber-Physical Internet of Things with 5G/6G Communication Framework. Wireless Pers Commun (2024). https://doi.org/10.1007/s11277-024-11145-9

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11277-024-11145-9

Keywords

Search

Navigation