A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks.

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2020
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Abstract
The Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automation to smart homes, healthcare applications are the most critical. Providing reliable connectivity among wearables and other monitoring devices is one of the major tasks of such healthcare networks. The main source of power for such low-powered IoT devices is the batteries, which have a limited lifetime and need to be replaced or recharged periodically. In order to improve their lifecycle, one of the most promising proposals is to harvest energy from the ambient resources in the environment. For this purpose, we designed an energy harvesting protocol that harvests energy from two ambient energy sources, namely radio frequency (RF) at 2.4 GHz and thermal energy. A rectenna is used to harvest RF energy, while the thermoelectric generator (TEG) is employed to harvest human thermal energy. To verify the proposed design, extensive simulations are performed in Green Castalia, which is a framework that is used with the Castalia simulator in OMNeT++. The results show significant improvements in terms of the harvested energy and lifecycle improvement of IoT devices.
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saraereh2020asensors Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Saraereh, Omar A;Alsaraira, Amer;Khan, Imran;Choi, Bong Jun;
Journal sensors
Year 2020
DOI
E407
URL
Keywords
energy harvesting internet-of-things (iot) lifecycle thermoelectric generator (teg) corrosion in concrete corrosion sensors coupled-multi-electrodes (cme) electrical resistance (er) probes long-term corrosion monitoring macrocell corrosion real environment exposure stainless steel reinforcement

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