Journal of Computer and Communication Networks
Research Article
Volume 01, 2025
Optimizing Edge Intelligence in Satellite IoT Networks via Computational Offloading and AI Inference
Journal of Computer and Communication Networks
Received On : 10 November 2024
Revised On : 18 December 2024
Accepted On : 30 December 2024
Published On : 05 January 2025
Volume 01, 2025
Pages : 001-012
Abstract
This research presents a novel methodology for evaluating the efficiency of satellite-based edge computing, focusing on network topology dynamics, computational resource allocation, and AI-driven inference performance. In our study, a low Earth orbit (LEO) satellite constellation model is developed using Keplerian orbital mechanics, with inter-satellite and ground-satellite connectivity governed by probabilistic link availability. Computational task offloading is formulated as an optimization problem that minimizes total execution latency, incorporating local processing time, transmission delay, and resource constraints. AI inference performance is analyzed using a convolutional neural network (CNN) deployed for real-time image classification, with federated learning updates exchanged asynchronously across satellites. Simulation results demonstrate that optimal task allocation reduces execution latency by 47.3% compared to conventional cloud-based processing, while maintaining a stable inference accuracy of 91.6% under dynamic network conditions. Connectivity stability analysis reveals that link availability fluctuates due to satellite mobility, with an average link duration of 18.6 seconds, impacting federated learning synchronization. The study further shows that AI inference latency scales non-linearly with resource-constrained satellites, with a 35.2% increase in processing delay observed under high computational loads.
Keywords
Artificial Intelligence Computation Offloading, Satellite Internet of Things Networks, Vehicular Cloud Resource Optimization, Edge Computing in Remote Sensing, Distributed Machine Learning in Satellite Communications.
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Cite this Article
Anastraj K, “Optimizing Edge Intelligence in Satellite IoT Networks via Computational Offloading and AI Inference”, Journal of Computer and Communication Networks, pp. 001-012, 05 January 2025, doi: 10.64026/JCCN/2025001.
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© 2025 Anastraj K. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.