ViPSN 2.0: A Reconfigurable Battery-free IoT Platform for Vibration Energy Harvesting
Abstract
Vibration energy harvesting is a promising solution for powering battery-free IoT systems; however, the instability of ambient vibrations presents significant challenges, such as limited harvested energy, intermittent power supply, and poor adaptability to various applications. To address these challenges, this paper proposes ViPSN2.0, a modular and reconfigurable IoT platform that supports multiple vibration energy harvesters (piezoelectric, electromagnetic, and triboelectric) and accommodates sensing tasks with varying application requirements through standardized hot-swappable interfaces. ViPSN~2.0 incorporates an energy-indication power management framework tailored to various application demands, including light-duty discrete sampling, heavy-duty high-power sensing, and complex-duty streaming tasks, thereby effectively managing fluctuating energy availability. The platform's versatility and robustness are validated through three representative applications: ViPSN-Beacon, enabling ultra-low-power wireless beacon transmission from a single transient fingertip press; ViPSN-LoRa, supporting high-power, long-range wireless communication powered by wave vibrations in actual marine environments; and ViPSN-Cam, enabling intermittent image capture and wireless transfer. Experimental results demonstrate that ViPSN~2.0 can reliably meet a wide range of requirements in practical battery-free IoT deployments under energy-constrained conditions.
Keywords
Cite
@article{arxiv.2507.05081,
title = {ViPSN 2.0: A Reconfigurable Battery-free IoT Platform for Vibration Energy Harvesting},
author = {Xin Li and Mianxin Xiao and Xi Shen and Jiaqing Chu and Weifeng Huang and Jiashun Li and Yaoyi Li and Mingjing Cai and Jiaming Chen and Xinming Zhang and Daxing Zhang and Congsi Wang and Hong Tang and Bao Zhao and Qitao Lu and Yilong Wang and Jianjun Wang and Minyi Xu and Shitong Fang and Xuanyu Huang. Chaoyang Zhao and Zicheng Liu and Yaowen Yang and Guobiao Hu and Junrui Liang and Wei-Hsin Liao},
journal= {arXiv preprint arXiv:2507.05081},
year = {2025}
}