
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 7 Issue 3
May-June 2025
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A Layered Framework for Energy-Efficient Edge Computing in Sustainable IoT Systems
Author(s) | Mr. Ashish Kumar, Mr. Aryan Tyagi, Prof. Nitin Goyal |
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Country | India |
Abstract | The fast expansion of the Internet of Things (IoT) caused an increased demand for energy-efficient data processing, particularly in time-sensitive applications. Edge computing is a concept where data is processed near the originating point and it has the potential to minimize wastes and energy use. This paper is a survey of the existing potential in energy-efficient edge-enabled IoT systems. The ways to implement like intelligent task offloading, energy-aware scheduling, and lightweight consensus mechanisms are emphasized as the to-be-developed-green-energy-uses features The objective is to give a straightforward, and practical view of the emerging patterns and uncover the possible paths in the sustainable IoT development. |
Keywords | Internet of Things (IoT), Edge Computing, Low-Power IoT Architecture, Sustainable Computing. |
Field | Engineering |
Published In | Volume 7, Issue 3, May-June 2025 |
Published On | 2025-05-10 |
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E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
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