A Review of Resource Allocation for Maximizing Performance of IoT Systems
Resource allocation is critical for maximizing the performance of Internet of Things (IoT) systems, in which devices with limited resources work together to complete diverse tasks. This paper provides a detailed overview of existing resource management solutions in IoT contexts, with a particular em...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11023604/ |
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| _version_ | 1849691455148261376 |
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| author | Mahdi Safaei Yaraziz Richard Hill |
| author_facet | Mahdi Safaei Yaraziz Richard Hill |
| author_sort | Mahdi Safaei Yaraziz |
| collection | DOAJ |
| description | Resource allocation is critical for maximizing the performance of Internet of Things (IoT) systems, in which devices with limited resources work together to complete diverse tasks. This paper provides a detailed overview of existing resource management solutions in IoT contexts, with a particular emphasis on AI techniques, heuristic/metaheuristic approaches, 5G/6G, digital twins, and blockchain. We evaluate the potential advantages and limitations of several resource allocation techniques and frameworks suggested in the literature. Our findings illustrate the potential of advanced AI and decentralized approaches to solving critical difficulties in IoT systems, including security and privacy preservation, communication overhead reduction, energy consumption, real-time performance improvement, and scalability enhancement. Furthermore, the ramifications of these discoveries were examined, as well as potential possibilities for future research in this vital field of study. |
| format | Article |
| id | doaj-art-169763e83ad5464ca1e71e66ca3d0e79 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-169763e83ad5464ca1e71e66ca3d0e792025-08-20T03:21:00ZengIEEEIEEE Access2169-35362025-01-0113984269845110.1109/ACCESS.2025.357671611023604A Review of Resource Allocation for Maximizing Performance of IoT SystemsMahdi Safaei Yaraziz0https://orcid.org/0000-0002-1675-3619Richard Hill1https://orcid.org/0000-0003-0105-7730Department of Computer Science, University of Huddersfield, Huddersfield, U.K.Department of Computer Science, University of Huddersfield, Huddersfield, U.K.Resource allocation is critical for maximizing the performance of Internet of Things (IoT) systems, in which devices with limited resources work together to complete diverse tasks. This paper provides a detailed overview of existing resource management solutions in IoT contexts, with a particular emphasis on AI techniques, heuristic/metaheuristic approaches, 5G/6G, digital twins, and blockchain. We evaluate the potential advantages and limitations of several resource allocation techniques and frameworks suggested in the literature. Our findings illustrate the potential of advanced AI and decentralized approaches to solving critical difficulties in IoT systems, including security and privacy preservation, communication overhead reduction, energy consumption, real-time performance improvement, and scalability enhancement. Furthermore, the ramifications of these discoveries were examined, as well as potential possibilities for future research in this vital field of study.https://ieeexplore.ieee.org/document/11023604/Resource allocationquality of serviceresource managementInternet of Thingsartificial intelligence |
| spellingShingle | Mahdi Safaei Yaraziz Richard Hill A Review of Resource Allocation for Maximizing Performance of IoT Systems IEEE Access Resource allocation quality of service resource management Internet of Things artificial intelligence |
| title | A Review of Resource Allocation for Maximizing Performance of IoT Systems |
| title_full | A Review of Resource Allocation for Maximizing Performance of IoT Systems |
| title_fullStr | A Review of Resource Allocation for Maximizing Performance of IoT Systems |
| title_full_unstemmed | A Review of Resource Allocation for Maximizing Performance of IoT Systems |
| title_short | A Review of Resource Allocation for Maximizing Performance of IoT Systems |
| title_sort | review of resource allocation for maximizing performance of iot systems |
| topic | Resource allocation quality of service resource management Internet of Things artificial intelligence |
| url | https://ieeexplore.ieee.org/document/11023604/ |
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