SRC: Sustainable Reactive Computing for Battery-free Edge Intelligence

Document Type

Conference Proceeding

Publication Date

1-1-2024

Abstract

This paper proposes SRC, a novel framework for efficient and reliable inference on battery-free smart Internet of Things (IoT) devices. SRC supports various configurations that follow reactive configuration while using the innovative state machine and a safe threshold mechanism to proactively halt operations, reducing store/load operations by up to 75%. It strategically stores essential convolutional neural network (CNN) data (layer, kernel, etc.) to optimize input/output feature map management. This reactive design allows seamless task resumption across power cycles, ensuring continuity in unpredictable energy environments. Experiments show significant gains, with SRC achieving on average ~ 81.85% reduction in read/write operations and approximately 57.18% improvement in sensing compared to conventional reactive methods based on the intermittent Energy Trace 1.

Identifier

85213312305 (Scopus)

ISBN

[9798331507862]

Publication Title

Proceedings - 15th International Green and Sustainable Computing Conference, IGSC 2024

External Full Text Location

https://doi.org/10.1109/IGSC64514.2024.00026

First Page

93

Last Page

98

Grant

2447566

Fund Ref

National Science Foundation

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