IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i11p8702-d1157677.html
   My bibliography  Save this article

Opportunities of IoT in Fog Computing for High Fault Tolerance and Sustainable Energy Optimization

Author

Listed:
  • A. Reyana

    (Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore 641114, Tamilnadu, India)

  • Sandeep Kautish

    (Department of Computer Science and Engineering, Lord Buddha Education Foundation, Kathmandu 44600, Nepal)

  • Khalid Abdulaziz Alnowibet

    (Statistics and Operations Research Department, College of Science, King Saud University, P.O. Box 2455, Riyadh 11451, Saudi Arabia)

  • Hossam M. Zawbaa

    (CeADAR Ireland’s Center for Applied AI, Technological University Dublin, D7 EWV4 Dublin, Ireland)

  • Ali Wagdy Mohamed

    (Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza 12613, Egypt
    Applied Science Research Center, Applied Science Private University, Amman 11937, Jordan)

Abstract

Today, the importance of enhanced quality of service and energy optimization has promoted research into sensor applications such as pervasive health monitoring, distributed computing, etc. In general, the resulting sensor data are stored on the cloud server for future processing. For this purpose, recently, the use of fog computing from a real-world perspective has emerged, utilizing end-user nodes and neighboring edge devices to perform computation and communication. This paper aims to develop a quality-of-service-based energy optimization (QoS-EO) scheme for the wireless sensor environments deployed in fog computing. The fog nodes deployed in specific geographical areas cover the sensor activity performed in those areas. The logical situation of the entire system is informed by the fog nodes, as portrayed. The implemented techniques enable services in a fog-collaborated WSN environment. Thus, the proposed scheme performs quality-of-service placement and optimizes the network energy. The results show a maximum turnaround time of 8 ms, a minimum turnaround time of 1 ms, and an average turnaround time of 3 ms. The costs that were calculated indicate that as the number of iterations increases, the path cost value decreases, demonstrating the efficacy of the proposed technique. The CPU execution delay was reduced to a minimum of 0.06 s. In comparison, the proposed QoS-EO scheme has a lower network usage of 611,643.3 and a lower execution cost of 83,142.2. Thus, the results show the best cost estimation, reliability, and performance of data transfer in a short time, showing a high level of network availability, throughput, and performance guarantee.

Suggested Citation

  • A. Reyana & Sandeep Kautish & Khalid Abdulaziz Alnowibet & Hossam M. Zawbaa & Ali Wagdy Mohamed, 2023. "Opportunities of IoT in Fog Computing for High Fault Tolerance and Sustainable Energy Optimization," Sustainability, MDPI, vol. 15(11), pages 1-14, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8702-:d:1157677
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/11/8702/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/11/8702/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Irfan Ali & Umar Muhammad Modibbo & Jahangir Chauhan & Maryam Meraj, 2021. "An integrated multi-objective optimization modelling for sustainable development goals of India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3811-3831, March.
    2. Umar Muhammad Modibbo & Irfan Ali & Aquil Ahmed, 2021. "Multi-objective optimization modelling for analysing sustainable development goals of Nigeria: Agenda 2030," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(6), pages 9529-9563, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alejandro Valencia-Arias & Juana Ramírez Dávila & Wilmer Londoño-Celis & Lucia Palacios-Moya & Julio Leyrer Hernández & Erica Agudelo-Ceballos & Hernán Uribe-Bedoya, 2024. "Research Trends in the Use of the Internet of Things in Sustainability Practices: A Systematic Review," Sustainability, MDPI, vol. 16(7), pages 1-23, March.
    2. Mohamed S. Abdalzaher & Moez Krichen & Derya Yiltas-Kaplan & Imed Ben Dhaou & Wilfried Yves Hamilton Adoni, 2023. "Early Detection of Earthquakes Using IoT and Cloud Infrastructure: A Survey," Sustainability, MDPI, vol. 15(15), pages 1-38, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahteshamul Haq & Umar Muhammad Modibbo & Aquil Ahmed & Irfan Ali, 2022. "Mathematical modeling of sustainable development goals of India agenda 2030: a Neutrosophic programming approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11991-12018, October.
    2. Diah Chaerani & Adibah Shuib & Tomy Perdana & Athaya Zahrani Irmansyah, 2023. "Systematic Literature Review on Robust Optimization in Solving Sustainable Development Goals (SDGs) Problems during the COVID-19 Pandemic," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    3. Singh, Mukesh Kumar & Malek, Javed & Sharma, Harish Kumar & Kumar, Rahul, 2024. "Converting the threats of fossil fuel-based energy generation into opportunities for renewable energy development in India," Renewable Energy, Elsevier, vol. 224(C).
    4. Mohammad Faisal Khan & Asif Pervez & Umar Muhammad Modibbo & Jahangir Chauhan & Irfan Ali, 2021. "Flexible Fuzzy Goal Programming Approach in Optimal Mix of Power Generation for Socio-Economic Sustainability: A Case Study," Sustainability, MDPI, vol. 13(15), pages 1-27, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8702-:d:1157677. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.