Aug 29, 2023 � The energy-hungry inference task also significantly affects power failure in energy-harvesting devices, impacting their ability to meet timely�...
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ABSTRACT. Energy-harvesting intelligent IoT devices are being attracted to provide sustainable development and overcome unstable commu- nication.
We propose Zygarde — which is an energy- and accuracy-aware soft real-time task scheduling framework for batteryless systems that flexibly execute deep�...
Apr 25, 2024 � ... Sensitive Applications in Intermittent Systems With Multiple ... Multiple Time-sensitive Inferences Scheduling on Energy-harvesting IoT Devices.
This paper presents an effective task scheduling strategy to allocate fog computing resources for IoT requests to meet the deadline of the requests and�...
This section presents a background of EH-IoT, covering the literature related to energy harvesting to power IoT sensor nodes, energy harvesting mechanisms,�...
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Multiple Time-sensitive Inferences Scheduling on Energy-harvesting IoT Devices. CC Lin, TC Yen, YS Chen. Proceedings of the 2023 International Conference on�...
Jun 1, 2021 � This paper provides a comprehensive survey on task scheduling algorithms for the emerging class of energy harvesting-based sensors (i.e., energy�...
Jul 11, 2024 � For example, HarvNet, designed for energy-harvesting IoT devices, employs a neural architecture search (HarvNAS) to create energy-efficient�...
An imprecise computing-based scheduling algorithm that improves the schedulability of deep learning tasks on intermittently powered systems and a�...