Self-Powered 6LoWPAN Sensor Node for Green IoT Edge Devices

In this paper, a simulation model and practical testbed for green Internet of Things (IoT) edge devices are proposed based on solar harvester with constant voltage-maximum power point tracking (CV-MPPT) technique. Billions of connected edge devices represent the essential part of the IoT through the...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-11, Vol.928 (2), p.22060
Main Authors: Al-Kaseem, Bilal R., Ahmed, Anas F., Abdullah, Aws M., Azouz, Tariq Z., Al-Majidi, Sadeq D., Al-Raweshidy, Hamed S.
Format: Article
Language:English
Subjects:
Batteries
Clean energy
Electronic devices
Energy harvesting
Energy storage
Harvesters
Internal energy
Internet of Things
Irradiance
Maximum power tracking
Model testing
Photovoltaic cells
Power management
Power sources
Rechargeable batteries
Sensors
Simulation
Solar energy
Source code
Storage capacity
Temperature effects
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a simulation model and practical testbed for green Internet of Things (IoT) edge devices are proposed based on solar harvester with constant voltage-maximum power point tracking (CV-MPPT) technique. Billions of connected edge devices represent the essential part of the IoT through the IP-enabled sensor networks based on IPv6 over Low power Wireless Personal Area Network (6LoWPAN). In traditional IoT edge devices, the stored energy in the non-rechargeable battery determines the node lifetime while it is being depleted with time. Therefore, purchasing billions of such batteries is costly and must be disposed of efficiently. This paper is aimed at simulating and implementing a new class of green IoT edge devices that can report data wirelessly and powered perpetually using clean energy. The developed edge device utilizes solar energy harvesting mechanism through photovoltaic (PV) module, this approach will avoid periodical battery replacement and hence, the energy supplied to the sensor mode is not limited anymore. The implemented testbed is based on open-source hardware and software platforms while the simulation environment is based on MATLAB/SIMULINK 2019a. The effects of temperature and solar irradiance on the performance of the developed approach are examined in order to confirm the leverage of the proposed methodology scheme. The lifetime of the developed green IoT device is predicted based on the device's activities, current consumption, and energy storage capacity. The obtained results showed that the battery lifetime is extended by 38-49% when the edge device runs on an independent power source.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/928/2/022060