Energy harvesting wireless sensor network edge device simulation tool

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113456288 - Cian O'Shea.pdf(3.2 MB)
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Date
2021
Authors
O'Shea, Cian
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University College Cork
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Abstract
Wireless Sensor Networks (WSN) are Internet of Things (IoT) edge devices. They are becoming widely adopted in many industries including health care, building energy management and conditional monitoring. As the scale of WSN deployments increases, the cost and complexity of battery replacement and disposal become more significant and in time may become a barrier to adoption. Harvesting ambient energies provides a pathway to reducing dependence on batteries and in the future may lead to autonomously powered sensors. This work describes a simulation tool that enables the user to predict the battery life of a wireless sensor that utilizes energy harvesting to supplement the battery power. To create this simulator, all aspects of a typical WSN edge device were modelled including, sensors, transceiver and microcontroller as well as the energy source components (batteries, photovoltaic cells, thermoelectric generators (TEG), supercapacitors and DC/DC converters). The tool allows the user to plug and play different pre characterized devices as well as add user defined devices. The goal of this simulation tool is to predict the battery lifetime of a device and determine the scope for extension using ambient energy sources. This work was part of a larger EU multi-partner project titled “Residential Retrofit assessment platform and demonstrations for near zero energy and CO2 emissions with optimum cost, health, comfort and environmental quality” (ReCO2ST). The ReCO2ST project has received funding from the European Union’s “Horizon 2020” research and innovation programme under the grant agreement No. 768576.
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Keywords
Wireless sensor network , Internet of things , Energy harvester , Simulation tool
Citation
O'Shea, C. 2021. Energy harvesting wireless sensor network edge device simulation tool. MRes Thesis, University College Cork.