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Energy-Efficient Mobile Agent Protocol for Secure IoT Sustainable Applications

Author

Listed:
  • Mohamed Elhoseny

    (Faculty of Computers and Information, Mansoura University, Mansoura 35516, Egypt
    College of Computing and Informatics, University of Sharjah, Sharjah 27272, United Arab Emirates)

  • Mohammad Siraj

    (Electrical Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia)

  • Khalid Haseeb

    (Department of Computer Science, Islamia College Peshawar, Peshawar 25000, Pakistan)

  • Muhammad Nawaz

    (Department of Computer Science, Institute of Management Sciences, Peshawar 25000, Pakistan)

  • Majid Altamimi

    (Electrical Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia)

  • Mohammed I. Alghamdi

    (Department of Computer Science, Al-Baha University, Al-Baha 1988, Saudi Arabia)

Abstract

The Internet of Things (IoT) and sensor technologies are combined with various communication networks in smart appliances and perform a significant role. Connected devices sense, analyze, and send environmental data, as well as support applications’ connections. Mobile agents can be explored to provide sensing intelligence with IoT-based systems. Many strategies have been proposed to address the issue of energy efficiency while maintaining the sensor load at a low cost. However, advancements are still desired. Furthermore, without fully trustworthy relationships, sensitive data are at risk, and the solution must provide privacy protection against unexpected events. With the development of two algorithms, this study proposes a mobile agent-based efficient energy resource management solution and also protects IoT appliances. Firstly, the software agents perform a decision using past and present precepts, and by exploring rule-based conditions, it offers an energy-efficient recommended system. Second, data from IoT appliances are securely evaluated on edge interfaces before being transferred to end-centers for verification. Simulations-based tests are conducted and verified the significance of the proposed protocol against other studies in terms of network metrics.

Suggested Citation

  • Mohamed Elhoseny & Mohammad Siraj & Khalid Haseeb & Muhammad Nawaz & Majid Altamimi & Mohammed I. Alghamdi, 2022. "Energy-Efficient Mobile Agent Protocol for Secure IoT Sustainable Applications," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8960-:d:868443
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    References listed on IDEAS

    as
    1. Bo Li & Min He & Wei Wu & Arun Kumar Sangaiah & Gwanggil Jeon, 2018. "Computation Offloading Algorithm for Arbitrarily Divisible Applications in Mobile Edge Computing Environments: An OCR Case," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
    2. Naveed Islam & Majid Altamimi & Khalid Haseeb & Mohammad Siraj, 2021. "Secure and Sustainable Predictive Framework for IoT-Based Multimedia Services Using Machine Learning," Sustainability, MDPI, vol. 13(23), pages 1-15, November.
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