Open Access
Research Article
Cloud-based smart agriculture framework: Optimizing load balancing efficiency via integrated scheduling algorithm
*SnehaCorresponding authorsnehaji7456@gmail.comDepartment of Computer Science and Engineering Graphic Era (Deemed to be University)Dehradun, Uttrakhand, 248001, IndiaView full profile → , Prabh Deep Singhprabhdeep@gmail.com; prabhdeepsingh.cse@geu.ac.inDepartment of Computer Science and Engineering Graphic Era (Deemed to be University)Department of Computer Science and Engineering Graphic Era (Deemed to be University) Dehradun, Uttrakhand, 248002, IndiaView full profile → , Vikas Tripathivikastripathi.cse@geu.ac.inDepartment of Computer Science and Engineering Graphic Era (Deemed to be University)Dehradun, Uttrakhand, 248001, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 15 Mar 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1562
- Pages:
- 449–458
Abstract
The rise of smart agriculture has revolutionized farming through advanced technology, boosting efficiency, productivity, and sustainability. This study introduces a Cloud-Based Smart Agriculture Framework that optimizes load-balancing efficiency through integrated hybrid scheduling algorithms. The four-layer framework aims to transform agricultural practices by combining IoT, Edge, Cloud, and Network layers. The research explores the crucial roles of IoT and Cloud Computing in Agriculture, emphasizing their contributions to data acquisition, analysis, and management. Integrating GA+ IRR in the IoT layer enhances load balancing and system optimization, improving resource management and optimizing data processing in agricultural IoT devices.
Keywords
Subject Classifications
68M20
References
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