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Research Paper | Electronics and Computer Engineering | Volume 15 Issue 5, May 2026 | Pages: 335 - 339 | India
Adaptive Energy Management Techniques for IoT Devices in LEO Satellite Systems
Abstract: Low Earth Orbit (LEO) satellite constellations are becoming a viable solution for providing global Internet of Things (IoT) connectivity, particularly in remote and underserved areas. IoT devices communicating via LEO satellites, however, face significant energy limitations due to long-range transmissions, intermittent satellite availability, and constrained battery life. This study presents adaptive energy management strategies that optimize power usage by considering satellite pass predictions, channel conditions, traffic load, and device activity. The approach combines duty-cycling, adaptive transmission power, edge-assisted data aggregation, and reinforcement-learning-based scheduling. Simulation results indicate that the proposed methods can reduce energy consumption by 35?55% while ensuring reliable connectivity, thereby extending device lifetime and supporting scalable, sustainable large-scale IoT deployments over LEO satellite networks.
Keywords: LEO Satellite Systems, Energy management for LEO Satellite, Optimize Power for IOT devices in LEO Satellite
How to Cite?: Mohan Singade, "Adaptive Energy Management Techniques for IoT Devices in LEO Satellite Systems", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 335-339, https://www.ijsr.net/getabstract.php?paperid=SR251219145733, DOI: https://dx.doi.org/10.21275/SR251219145733