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An Energy Harvesting Solution for IoT Sensors Using MEMS Technology

机译:使用MEMS技术的物联网传感器能量收集解决方案

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摘要

The significant development of IoT sensors will play a critical role in a large number of applications. It is predicted that billions of IoT sensors will be used worldwide by 2020 [1]. Batteries are commonly utilized to power on sensors, but they are depleted and they require maintenance and replacement. Battery replacement for billions of sensors is a daunting task and battery disposal for IoT sensors can become an environmental problem. Energy harvesting from ambient sources presents a viable solution to overcome these problems. Among all energy sources, light is considered as one of the best sources due to its high energy density and availability in both indoor and outdoor environments. In order to make an energy harvesting system efficient, many methods have been proposed in the literature to extract the maximum energy while minimizing the power consumption by the energy harvesting circuitry.;In this work, a boost converter circuit is designed using MEMS-based switches to reduce the leakage current and power loss caused by conventional transistor-based switches. A light energy harvesting method is also proposed utilizing available components of a typical IoT sensor. The reuse of available components in the proposed solution reduces the overall power consumption and the area overhead of the energy harvesting solution.
机译:物联网传感器的重大发展将在众多应用中发挥关键作用。预计到2020年,全球将使用数十亿个IoT传感器[1]。电池通常用于为传感器加电,但是电池已经耗尽,需要维护和更换。数十亿传感器的电池更换是一项艰巨的任务,而物联网传感器的电池处置可能会成为环境问题。从周围环境收集能量是解决这些问题的可行解决方案。在所有能源中,由于光的高能量密度和在室内和室外环境中的可用性,光被认为是最好的光源之一。为了使能量收集系统高效,文献中提出了许多方法来提取最大能量,同时使能量收集电路的功耗最小化。在这项工作中,使用基于MEMS的开关设计了升压转换器电路以减少由传统的基于晶体管的开关引起的泄漏电流和功率损耗。还提出了一种利用典型物联网传感器可用组件的光能收集方法。所提出的解决方案中可用组件的重用减少了总体功耗和能量收集解决方案的面积开销。

著录项

  • 作者

    Eshaghi, Maryam.;

  • 作者单位

    University of Windsor (Canada).;

  • 授予单位 University of Windsor (Canada).;
  • 学科 Electrical engineering.
  • 学位 M.A.Sc.
  • 年度 2018
  • 页码 94 p.
  • 总页数 94
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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