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New PLATOS strategy cuts HIoT energy use and latency

By PulseAugur Editorial · [1 sources] ·

Researchers have developed PLATOS, a novel scheduling strategy designed to optimize power consumption and latency for Healthcare Internet of Things (HIoT) devices operating within fog computing environments. This strategy categorizes HIoT tasks into priority, storage, and computational groups to minimize execution delay and energy usage. Simulations in iFogSim2 indicate that PLATOS can reduce energy consumption by 18.72% and latency by 8.65% compared to existing methods, thereby improving the efficiency and responsiveness of HIoT systems for better patient care. AI

IMPACT Optimizes resource allocation for healthcare IoT, potentially improving patient care and system efficiency.

RANK_REASON The cluster contains a research paper detailing a new scheduling strategy for IoT devices. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New PLATOS strategy cuts HIoT energy use and latency

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The cluster contains a research paper detailing a new scheduling strategy for IoT devices. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mohammed Alaa Ala'anzy, Zulfiqar Ahmad, Zhanar Mukash ·

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

    arXiv:2609.07318v1 Announce Type: cross Abstract: Healthcare Internet of Things (HIoT) technology is revolutionising the healthcare industry by enabling real-time data collection and analysis for personalised patient care. However, the rapid expansion of HIoT technology introduce…

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