Nano-Enhanced IoT Sensors and Hybrid Scheduling Algorithms for Smart Agriculture: A Multi-Layered Framework Towards Sustainability
| Authors | Sneha1, P.D. Singh1, V. Tripathi1, S. Maurya2 |
| Affiliations |
1Graphic Era (Deemed to be University), Dehradun, India 2Symbiosis International University, Pune, India |
| Е-mail | bvv260170@ukr.net |
| Issue | Volume 17, Year 2025, Number 4 |
| Dates | Received 23 April 2025; revised manuscript received 20 August 2025; published online 29 August 2025 |
| Citation | Sneha, P.D. Singh, et al., J. Nano- Electron. Phys. 17 No 4, 04014 (2025) |
| DOI | https://doi.org/10.21272/jnep.17(4).04014 |
| PACS Number(s) | 07.05.Kf, 43.10.Pr |
| Keywords | Nano-Enhanced IoT layer, Fog, Cloud computing, Hybrid algorithm. |
| Annotation |
Several changes are observed in the agricultural domain, especially with the technological IoT framework that integrates cloud computing, fog computing and nanotechnology. All these innovations are designed to enhance productivity, optimize resource use, and respect the environment. Smart agriculture is now recognised as a method of farming that helps farmers gather data freely, carry out analysis in real-time, and automate particular processes. This study presents a Multi-Layered Smart Agriculture Framework, a layered architecture that propounds solutions to the proper execution of smart agriculture. The IoT Nano-Enhanced Layer uses nanosensors for monitoring soil, crop, and environmental health, while the fog layer processes data instantly, and the cloud layer handles large-scale computation and storage. To handle the huge amount of data being generated by Nano-Enhanced IoT devices, a Hybrid Scheduling Algorithm GA+WRR is used to manage the resources at its disposal better and keep the execution time to a minimum. Performance analysis with Eclipse IDE shows better results of the presented framework than basic scheduling techniques. The proposed framework optimizes resources and minimizes execution time, ensuring sustainable and efficient agriculture to meet global food demands. |
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