Implementation of an edge-fog-cloud computing IoT architecture in aircraft components

Ramona Dogea; Xiu T. Yan; Richard Millar

doi:10.1557/s43579-023-00364-z

Implementation of an edge-fog-cloud computing IoT architecture in aircraft components

Ramona Dogea, Xiu T. Yan, Richard Millar

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

31 Downloads (Pure)

Abstract

This paper presents a deployment of an IoT architecture in aircraft wings based on a physical asset, three IoT platforms, MATLAB® on a personal computer and ThingSpeak as a cloud. The IoT architecture was designed considering five layers and implemented using a simple wireless sensor network. Temperature, humidity, air quality and air pressure were collected, pre-processed and visualised in real-time to improve the reliability of aircraft components. The results show that embedding sensory capability into wing components can create a smart ecosystem that will support different IoT-enabled services in-flight, and it can also be used for predictive maintenance purposes.

Original language	English
Pages (from-to)	416-424
Number of pages	9
Journal	MRS Communications
Volume	13
Issue number	3
Early online date	8 May 2023
DOIs	https://doi.org/10.1557/s43579-023-00364-z
Publication status	Published - 30 Jun 2023

Keywords

aerospace
computation
lifecycle data
sensor
extreme environment

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10.1557/s43579-023-00364-zLicence: CC BY 4.0

Dogea-etal-MRSC-2023-Implementation-of-an-edge-fog-cloud-computing-IoT-architectureFinal published version, 2.15 MBLicence: CC BY 4.0

Cite this

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abstract = "This paper presents a deployment of an IoT architecture in aircraft wings based on a physical asset, three IoT platforms, MATLAB{\textregistered} on a personal computer and ThingSpeak as a cloud. The IoT architecture was designed considering five layers and implemented using a simple wireless sensor network. Temperature, humidity, air quality and air pressure were collected, pre-processed and visualised in real-time to improve the reliability of aircraft components. The results show that embedding sensory capability into wing components can create a smart ecosystem that will support different IoT-enabled services in-flight, and it can also be used for predictive maintenance purposes.",

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AB - This paper presents a deployment of an IoT architecture in aircraft wings based on a physical asset, three IoT platforms, MATLAB® on a personal computer and ThingSpeak as a cloud. The IoT architecture was designed considering five layers and implemented using a simple wireless sensor network. Temperature, humidity, air quality and air pressure were collected, pre-processed and visualised in real-time to improve the reliability of aircraft components. The results show that embedding sensory capability into wing components can create a smart ecosystem that will support different IoT-enabled services in-flight, and it can also be used for predictive maintenance purposes.

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Implementation of an edge-fog-cloud computing IoT architecture in aircraft components

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Keywords

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