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arXiv AI By Mohammed Alaa Ala'anzy, Zulfiqar Ahmad, Zhanar Mukash

PLATOS: A Power and Latency-Aware Task-Oriented Scheduling Strategy for Healthcare IoT in Fog Computing

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The paper introduces PLATOS, a scheduling strategy for Healthcare IoT in fog computing that balances power consumption and latency. PLATOS classifies tasks into priority, storage, and computational categories, then selects fog resources to minimize delay and energy use before allocating high‑performance nodes to high‑priority tasks. Simulations show an 18.72% reduction in energy use and an 8.65% decrease in latency compared to existing methods.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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