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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

Towards smart agriculture : Optimizing IoT device energy efficiency with cloud-based load balancing

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pp. 395–401Vol. 45Issue 2March 2024DOI: 10.47974/JIOS-1556XML
Published Online:
17 Mar 2024
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1556
Pages:
395–401

Abstract

Smart agriculture revolutionizes traditional farming by leveraging advanced technologies for enhanced efficiency and sustainability. The study focuses on optimizing IoT device energy efficiency in smart agriculture through Cloud-Based Load Balancing. This tri-layer cloud-based architecture integrates IoT, Dew Computing, and Cloud Computing, streamlining time-sensitive data processing. The Dew Computing layer optimizes data processing, reducing latency and enhancing efficiency. The Round Robin Scheduler in the IoT layer ensures fair resource distribution, enhancing energy efficiency. Performance evaluations show reduced response times, optimized resource allocation, and enhanced farming productivity, emphasizing the importance of Cloud-Based Load Balancing in advancing sustainable agriculture practices.

Keywords

Subject Classifications

94-XX

References

[1] Bwambale Erion, Felix K. Abagale, and Geophrey K. Anornu. “Data-Driven Modelling of Soil Moisture Dynamics for Smart Irrigation Scheduling.” Smart Agricultural Technology 5 : 100251 (2023).
[2] Bhasker B., and S. Murali. “FMMEHO Based Workflow Scheduling in Virtualized Cloud Environment for Smart Irrigation System.” ACM Transactions on Sensor Networks (2023).
[3] Gao Juan, Runze Wu, Jianhong Hao, Chen Xu, Haobo Guo, and Haonan Wang. “Energy-Efficient Resource Scheduling and Computation Offloading Strategy for Solar-Powered Agriculture WSN.” Journal of Sensors 2023 (2023).
[4] Gu Zhaoquan, Huan Zhang, Le Wang, Muhammad Shafiq, and Kai Jin. “Efficient distributed broadcasting algorithms for cognitive radio networks-enabled smart agriculture.” Computers and Electrical Engineering 108 : 108690 (2023).
[5] Gupta Akanksha, and Priyank Nahar. “Classification and yield prediction in smart agriculture system using IoT.” Journal of Ambient Intelligence and Humanized Computing 14.8 : 10235-10244 (2023).
[6] Guru Prasad, M. S., Prabhdeep Singh, Harsh Taneja, Amith K. Jain, and S. Chandrappa. “Statistical analysis of multi job processing in Hadoop environment using schedulers.” Journal of Information and Optimization Sciences 43, no. 3 : 497-504 (2022).
[7] Harsh Taneja, and Supreet Kaur. “An ensemble classification model for fake feedback detection using proposed labeled CloudArmor dataset.” Computers & Electrical Engineering 93 : 107217 (2021).
[8] Kumar, A. Senthil, G. Suresh, S. Lekashri, Ganesh Babu Loganathan, and R. Manikandan. “Smart agriculture system with E–carbage using IoT.” International Journal of Modern Agriculture 10, no. 1 : 928-931 (2021).
[9] Navneet Kumar Rajpoot, Prabhdeep Singh, and Bhaskar Pant. “Load Balancing in Cloud Computing: A Simulation-Based Evaluation.” In 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES), pp. 564-568. IEEE (2023).
[10] Sekaran, Kaushik, Maytham N. Meqdad, Pardeep Kumar, Soundar Rajan, and Seifedine Kadry. “Smart agriculture management system using internet of things.” TELKOMNIKA (Telecommunication Computing Electronics and Control) 18, no. 3 : 1275-1284 (2020).
[11] Singh Amrit Pal, Gaurav Kumar, Guneet Singh Dhillon, and Harsh Taneja. “Hybridization of chaos theory and dragonfly algorithm to maximize spatial area coverage of swarm robots.” Evolutionary Intelligence : 1-14 (2023).
[12] Wanyama Joshua, Paul Soddo, Prossie Nakawuka, Peter Tumutegyereize, Erion Bwambale, Isaac Oluk, William Mutumba, and Allan John Komakech. “Development of a Solar Powered Smart Irrigation Control System Kit.” Smart Agricultural Technology : 100273 (2023).

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