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A Survey on UAV Computing Platforms: A Hardware Reliability Perspective
This study describes the Computing Platforms (CPs) and the hardware reliability issues of Unmanned Aerial Vehicles (UAVs), or drones, which recently attracted significant attention in mission and safety-critical applications demanding a failure-free operation. While the rapid development of the UAV...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415330/ https://www.ncbi.nlm.nih.gov/pubmed/36016048 http://dx.doi.org/10.3390/s22166286 |
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author | Ahmed, Foisal Jenihhin, Maksim |
author_facet | Ahmed, Foisal Jenihhin, Maksim |
author_sort | Ahmed, Foisal |
collection | PubMed |
description | This study describes the Computing Platforms (CPs) and the hardware reliability issues of Unmanned Aerial Vehicles (UAVs), or drones, which recently attracted significant attention in mission and safety-critical applications demanding a failure-free operation. While the rapid development of the UAV technologies was recently reviewed by survey reports focusing on the architecture, cost, energy efficiency, communication, and civil application aspects, the computing platforms’ reliability perspective was overlooked. Moreover, due to the rising complexity and diversity of today’s UAV CPs, their reliability is becoming a prominent issue demanding up-to-date solutions tailored to the UAV specifics. The objective of this work is to address this gap, focusing on the hardware reliability aspect. This research studies the UAV CPs deployed for representative applications, specific fault and failure modes, and existing approaches for reliability assessment and enhancement in CPs for failure-free UAV operation. This study indicates how faults and failures occur in the various system layers of UAVs and analyzes open challenges. We advocate a concept of a cross-layer reliability model tailored to UAVs’ onboard intelligence and identify directions for future research in this area. |
format | Online Article Text |
id | pubmed-9415330 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94153302022-08-27 A Survey on UAV Computing Platforms: A Hardware Reliability Perspective Ahmed, Foisal Jenihhin, Maksim Sensors (Basel) Review This study describes the Computing Platforms (CPs) and the hardware reliability issues of Unmanned Aerial Vehicles (UAVs), or drones, which recently attracted significant attention in mission and safety-critical applications demanding a failure-free operation. While the rapid development of the UAV technologies was recently reviewed by survey reports focusing on the architecture, cost, energy efficiency, communication, and civil application aspects, the computing platforms’ reliability perspective was overlooked. Moreover, due to the rising complexity and diversity of today’s UAV CPs, their reliability is becoming a prominent issue demanding up-to-date solutions tailored to the UAV specifics. The objective of this work is to address this gap, focusing on the hardware reliability aspect. This research studies the UAV CPs deployed for representative applications, specific fault and failure modes, and existing approaches for reliability assessment and enhancement in CPs for failure-free UAV operation. This study indicates how faults and failures occur in the various system layers of UAVs and analyzes open challenges. We advocate a concept of a cross-layer reliability model tailored to UAVs’ onboard intelligence and identify directions for future research in this area. MDPI 2022-08-21 /pmc/articles/PMC9415330/ /pubmed/36016048 http://dx.doi.org/10.3390/s22166286 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ahmed, Foisal Jenihhin, Maksim A Survey on UAV Computing Platforms: A Hardware Reliability Perspective |
title | A Survey on UAV Computing Platforms: A Hardware Reliability Perspective |
title_full | A Survey on UAV Computing Platforms: A Hardware Reliability Perspective |
title_fullStr | A Survey on UAV Computing Platforms: A Hardware Reliability Perspective |
title_full_unstemmed | A Survey on UAV Computing Platforms: A Hardware Reliability Perspective |
title_short | A Survey on UAV Computing Platforms: A Hardware Reliability Perspective |
title_sort | survey on uav computing platforms: a hardware reliability perspective |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415330/ https://www.ncbi.nlm.nih.gov/pubmed/36016048 http://dx.doi.org/10.3390/s22166286 |
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