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Submitted
April 28, 2025
Accepted
May 16, 2025
Published
May 30, 2025
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Abstract

This study explores the application of the Round Robin algorithm for scheduling tasks in Internet of Things (IoT) systems designed for environmental monitoring, such as temperature and humidity tracking. Efficient task scheduling is critical to minimize latency and energy consumption in IoT networks. Using a Python-based simulation, this research evaluates the performance of the Round Robin algorithm in managing 10 to 50 virtual IoT devices tasked with environmental data collection, comparing it with Priority with Aging and Genetic Algorithm approaches. The simulation results indicate that Round Robin reduces the average waiting time by 15% compared to random scheduling, while the Genetic Algorithm outperforms Round Robin by approximately 20% in high-density networks. This approach provides valuable insights into IoT scheduling efficiency without requiring physical deployment, making it relevant for large-scale IoT system development.

Keywords

Internet of Thing Scheduling Round-Robin Priority with Aging Genetic Algorithm

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Copyright (c) 2025 Aji Ery Burhandenny, Sarwo Pranoto, Didit Suprihanto

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How to Cite
Burhandenny, A. E., Pranoto, S. ., & Suprihanto, D. (2025). Optimal Scheduling of IoT Devices Using Round Robin Algorithm in Environmental Monitoring Systems: A Simulation Approach: english. AJIE (Asian Journal of Innovation and Entrepreneurship), 9(02), 84–95. https://doi.org/10.20885/ajie.vol9.iss2.art2
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