Piezoelectric Energy Harvesting Prediction and Efficient Management for Industrial Wireless Sensor

Autor: Nahi Kandil, Nadir Hakem, Alex Mouapi
Jazyk: angličtina
Rok vydání: 2020
Předmět:
energy dissipation
Computer science
PHEV
LoRa/LoRaWan
QoS
02 engineering and technology
MDSP
energy prediction
lcsh:Technology
vibrations
lcsh:Chemistry
0202 electrical engineering
electronic engineering
information engineering
Wireless
IWS
General Materials Science
Instrumentation
lcsh:QH301-705.5
Fluid Flow and Transfer Processes
business.industry
lcsh:T
Process Chemistry and Technology
Node (networking)
Quality of service
020208 electrical & electronic engineering
General Engineering
020206 networking & telecommunications
Maximization
RMSE
lcsh:QC1-999
Computer Science Applications
Power (physics)
Reliability engineering
lcsh:Biology (General)
lcsh:QD1-999
Wide area network
lcsh:TA1-2040
business
lcsh:Engineering (General). Civil engineering (General)
Energy harvesting
Energy (signal processing)
lcsh:Physics
Zdroj: Applied Sciences, Vol 10, Iss 8486, p 8486 (2020)
Applied Sciences
Volume 10
Issue 23
ISSN: 2076-3417
Popis: The vibrations, due to their abundance in most industrial processes, constitute an attractive solution for the power supply of Industrial Wireless Sensor (IWS). However, the amount of energy that can be harvested presents numerous fluctuations due to the engines&rsquo
different operating modes (overload, full load, or even operation without charge). Most designs do not incorporate this fluctuation in the definition of the specifications of the autonomous IWS. This paper then presents a design method to ensure the node&rsquo
s energy autonomy while maximizing its Quality of Service (QoS). To precisely define the specifications of the IWS, vibration measurements were carried out at its location for one month. The recorded data was used to propose a new Predictor of the Harvestable Energy from Vibrations (PHEV). A comparative evaluation of the proposed PHEV performances with a state-of-the-art predictor is carried out. The results obtained show that the PHEV makes it possible to minimize the Root Mean Square Error (RMSE) from to . A model of energy dissipation in IWS, considering the Internet of Things&rsquo
requirements, was established. The model is based on Long-Range (LoRa)/Long-Range Communication Wide Area Network (LoRaWan). The amount of data transmitted is then maximized according to the expected energy harvest rate by setting up a Maximization Data Size Protocol (MDSP). The proposed method makes it possible to ensure an acceptable QoS without resorting to reconfigurable circuits, which are sometimes bulky for miniature devices such as the IWS.
Databáze: OpenAIRE
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