TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

Cloud-based smart agriculture framework: Optimizing load balancing efficiency via integrated scheduling algorithm

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pp. 449–458Vol. 45Issue 2March 2024DOI: 10.47974/JIOS-1562XML
Published Online:
17 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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