{"ID":2897569,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.05081","arxiv_id":"2507.05081","title":"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.","short_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 p...","url_abs":"https://arxiv.org/abs/2507.05081","url_pdf":"https://arxiv.org/pdf/2507.05081v1","authors":"[\"Xin Li\",\"Mianxin Xiao\",\"Xi Shen\",\"Jiaqing Chu\",\"Weifeng Huang\",\"Jiashun Li\",\"Yaoyi Li\",\"Mingjing Cai\",\"Jiaming Chen\",\"Xinming Zhang\",\"Daxing Zhang\",\"Congsi Wang\",\"Hong Tang\",\"Bao Zhao\",\"Qitao Lu\",\"Yilong Wang\",\"Jianjun Wang\",\"Minyi Xu\",\"Shitong Fang\",\"Xuanyu Huang. Chaoyang Zhao\",\"Zicheng Liu\",\"Yaowen Yang\",\"Guobiao Hu\",\"Junrui Liang\",\"Wei-Hsin Liao\"]","published":"2025-07-07T15:06:16Z","proceeding":"cs.AR","tasks":"[\"cs.AR\"]","methods":"[\"LoRA\"]","has_code":false}