期刊论文详细信息
Frontiers in Signal Processing
Static: Low Frequency Energy Harvesting and Power Transfer for the Internet of Things
Signal Processing
Ka Lok Man1  Jieming Ma1  Fan Yang2  Ashok Samraj Thangarajan3  Danny Hughes3  Mengyao Liu3  Sam Michiels3  Thien Duc Nguyen3  Wouter Joosen3 
[1] CSSE, Xi’an-Jiaotong Liverpool University, Liverpool, China;Research Intelligent IoT and Computing X, Bosch, China;imec-DistriNet, Computer Science, KU Leuven, Leuven, Belgium;
关键词: internet of things (IoT);    RF energy harvesting;    adaptive systems;    sustainability;    ambient energy;   
DOI  :  10.3389/frsip.2021.763299
 received in 2021-08-23, accepted in 2021-12-08,  发布年份 2022
来源: Frontiers
PDF
【 摘 要 】

The Internet of Things (IoT) is composed of wireless embedded devices which sense, analyze and communicate the state of the physical world. To achieve truly wireless operation, today’s IoT devices largely depend on batteries for power. However, this leads to high maintenance costs due to battery replacement, or the environmentally damaging concept of disposable devices. Energy harvesting has emerged as a promising approach to delivering long-life, environmentally friendly IoT device operation. However, with the exception of solar harvesting, it remains difficult to ensure sustainable system operation using environmental power alone. This paper tackles this problem by contributing Static, a Radio Frequency (RF) energy harvesting and wireless power transfer platform. Our approach comprises autonomous energy management techniques, adaptive power transfer algorithms and an open-source hardware reference platform to enable further research. We evaluate Static in laboratory conditions and show that 1) ambient RF energy harvesting can deliver sustainable operation using common industrial sources, while 2) wireless power transfer provides a simple means to power motes at a range of up to 3 m through a variety of media.

【 授权许可】

Unknown   
Copyright © 2022 Thangarajan, Nguyen, Liu, Michiels, Yang, Man, Ma, Joosen and Hughes.

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