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Proposing an Efficient Method for Resource Allocation in the IoT Devices based on Fog Computing in Face Detection Allocations (Record no. 133184)
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| fixed length control field | 01937nam a2200145 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251104b |||||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Mohammad Ehsan Sahami |
| 245 ## - TITLE STATEMENT | |
| Title | Proposing an Efficient Method for Resource Allocation in the IoT Devices based on Fog Computing in Face Detection Allocations |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | Pages 358-372 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. biblio.abstract | This research addresses the imperative challenge of resource allocation efficiency in face detection tasks within the Internet of Things (IoT) paradigm by incorporating Fog Computing. The architecture proposed employs smart offloading of tasks, dynamic profiling of resources, as well as a new strategy that is multi-algorithmic in order to enhance efficiency, scalability, as well as reliability in detection of faces in IoT. Specifically, the architecture employs the Energy Valley Optimizer (EVO) as a form of energy-efficient allocation of resources, the Fire Hawk Optimizer (FHO) as a form of adaptive as well as strategic allocation of tasks, as well as the Artificial Bee Colony (ABC) algorithm as a form of decentralized as well as swarm-based optimization. The hybrid strategy efficiently solves dynamic task offloading, dynamic profiling in real time, as well as adaptive optimization in distributed Fog Computing scenarios. This integration promises unprecedented levels of optimization and adaptability, enabling dynamic allocation of processing, storage, and communication resources based on real-time demands. The comprehensive framework presented herein contributes to advancing IoT-based face detection, paving the way for enhanced real-time applications across diverse domains. |
| 654 ## - SUBJECT ADDED ENTRY--FACETED TOPICAL TERMS | |
| Subject | <a href="Energy Valley Optimizer (EVO)">Energy Valley Optimizer (EVO)</a> |
| -- | <a href="Face detection">Face detection</a> |
| -- | <a href="Fog Computing">Fog Computing</a> |
| -- | <a href="IoT">IoT</a> |
| -- | <a href="Resource allocation">Resource allocation</a> |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 133183 |
| Host Itemnumber | 114370 |
| Main entry heading | Hemant Kumar Varshney |
| Title | Design of a High-Gain UWB Antenna with Band Notch Characteristics Using Frequency Selective Surface |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Location (home branch) | Sublocation or collection (holding branch) | Date acquired | Koha issues (times borrowed) | Piece designation (barcode) | Koha date last seen | Price effective from | Koha item type |
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| Dewey Decimal Classification | SNDT Juhu | SNDT Juhu | 04/11/2025 | JP980.4 | 04/11/2025 | 04/11/2025 | Journal Article |