Open AccessSelf-Powered 6LoWPAN Sensor Node for Green IoT Edge Devices
Author(s) -
Bilal R. Al-Kaseem,
Anas Fouad Ahmed,
Aws Mahmood Abdullah,
Tariq Z. Azouz,
Sadeq D. Al-Majidi,
Hamed S. Al-Raweshidy
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/2/022060
Subject(s) - computer science , testbed , wireless sensor network , maximum power point tracking , 6lowpan , enhanced data rates for gsm evolution , edge device , sensor node , edge computing , photovoltaic system , battery (electricity) , embedded system , electrical engineering , real time computing , key distribution in wireless sensor networks , internet of things , wireless , computer network , power (physics) , voltage , engineering , wireless network , ipv6 , telecommunications , the internet , operating system , inverter , cloud computing , quantum mechanics , physics
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.