A Configurable Harvester Emulator for Intermittent Systems

To reduce battery maintenance costs and environmental impact, there is a growing interest in harvesting energy for IoT networks. Evaluating intermittent software in a large, distributed network is challenging due to the variable efficiency of energy harvesters at each node and the high cost of on-device power controllers. To address these issues, we propose a configurable harvester emulator designed to accelerate the development of distributed intermittent software. This emulator stably replays a reference environmental energy trace and provides repeatability and reproducibility during the development stage by eliminating the variance in the efficiency of energy harvesters during testing in intermittent networks.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1145/3698384.3699619
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
0.00

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article

A Configurable Harvester Emulator for Intermittent Systems

Ya-Shu Chen, Yi-Zheng Liu, Zhong-Han Chan
Modular Robots and Swarm Intelligence
article

A Configurable Harvester Emulator for Intermittent Systems

Ya-Shu Chen, Yi-Zheng Liu, Zhong-Han Chan
article en

Abstract

To reduce battery maintenance costs and environmental impact, there is a growing interest in harvesting energy for IoT networks. Evaluating intermittent software in a large, distributed network is challenging due to the variable efficiency of energy harvesters at each node and the high cost of on-device power controllers. To address these issues, we propose a configurable harvester emulator designed to accelerate the development of distributed intermittent software. This emulator stably replays a reference environmental energy trace and provides repeatability and reproducibility during the development stage by eliminating the variance in the efficiency of energy harvesters during testing in intermittent networks.

National Taiwan University of Science and Technology (TW)
National Science and Technology Council
Openalex Percentile: Top 79%
Modular Robots and Swarm Intelligence
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