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A Measurement Study on Edge Computing for Autonomous UAVs

Authors:

Davide Callegaro,

Sabur Baidya,

Marco LevoratoAuthors Info & Claims

MAGESys'19: Proceedings of the ACM SIGCOMM 2019 Workshop on Mobile AirGround Edge Computing, Systems, Networks, and Applications

Pages 29 - 35

https://doi.org/10.1145/3341568.3342109

Published: 14 August 2019 Publication History

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Abstract

The ability to execute complex signal processing and machine learning tasks in real-time is the core of autonomy. In airborne devices such as Unmanned Aerial Vehicles (UAV), the hardware limitations imposed by the weight constraint make the continuous execution of these algorithms challenging. Edge and fog computing can mitigate such limitations and boost the system and mission-level performance of the UAVs. However, due to the UAVs motion characteristics and complex dynamics of urban environments, the performance of pipelines using interconnected, rather than onboard, resources can quickly degrade. Motivated by the development of Hydra, an architecture for the establishment of flexible sensing-analysis-control pipelines over autonomous airborne systems, this paper reports a preliminary measurement study on the performance of computing task offloading on available network technologies in this class of applications and systems.

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Chebaane AArshad MBurger FKhelil A(2024)A Layered Strategy for Reducing Offloading Latency in Fog Computing2024 9th International Conference on Fog and Mobile Edge Computing (FMEC)10.1109/FMEC62297.2024.10710234(176-182)Online publication date: 2-Sep-2024
https://doi.org/10.1109/FMEC62297.2024.10710234
Ibn‐Khedher HLaroui MAlfaqawi MMagnouche AMoungla HAfifi H(2024)6G‐edge support of Internet of Autonomous VehiclesTransactions on Emerging Telecommunications Technologies10.1002/ett.491835:1Online publication date: 15-Jan-2024
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Bala MEiszler TChen XHarkes JBlakley JPillai PSatyanarayanan MSha KBanerjee SChen J(2023)Democratizing Drone Autonomy via Edge ComputingProceedings of the Eighth ACM/IEEE Symposium on Edge Computing10.1145/3583740.3626614(40-52)Online publication date: 6-Dec-2023
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A Measurement Study on Edge Computing for Autonomous UAVs

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Published In

MAGESys'19: Proceedings of the ACM SIGCOMM 2019 Workshop on Mobile AirGround Edge Computing, Systems, Networks, and Applications

August 2019

54 pages

ISBN:9781450368797

DOI:10.1145/3341568

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 August 2019

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SIGCOMM '19

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SIGCOMM

SIGCOMM '19: ACM SIGCOMM 2019 Conference

August 19, 2019

Beijing, China

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MAGESys'19 Paper Acceptance Rate 7 of 10 submissions, 70%;

Overall Acceptance Rate 7 of 10 submissions, 70%

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Cited By

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Chebaane AArshad MBurger FKhelil A(2024)A Layered Strategy for Reducing Offloading Latency in Fog Computing2024 9th International Conference on Fog and Mobile Edge Computing (FMEC)10.1109/FMEC62297.2024.10710234(176-182)Online publication date: 2-Sep-2024
https://doi.org/10.1109/FMEC62297.2024.10710234
Ibn‐Khedher HLaroui MAlfaqawi MMagnouche AMoungla HAfifi H(2024)6G‐edge support of Internet of Autonomous VehiclesTransactions on Emerging Telecommunications Technologies10.1002/ett.491835:1Online publication date: 15-Jan-2024
https://dl.acm.org/doi/10.1002/ett.4918
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https://dl.acm.org/doi/10.1145/3583740.3626614
Li HWu SJiao JLin XZhang NZhang Q(2023)Energy-Efficient Task Offloading of Edge-Aided Maritime UAV SystemsIEEE Transactions on Vehicular Technology10.1109/TVT.2022.320512772:1(1116-1126)Online publication date: Jan-2023
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Li HOta KDong M(2023)AI in SAGIN: Building Deep Learning Service-Oriented Space-Air-Ground Integrated NetworksIEEE Network10.1109/MNET.001.200051237:2(154-159)Online publication date: Mar-2023
https://doi.org/10.1109/MNET.001.2000512
Awada UZhang JChen SLi SYang S(2023)EdgeDronesJournal of Network and Computer Applications10.1016/j.jnca.2023.103632215:COnline publication date: 24-May-2023
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Pasandideh Fda Costa JKunst RIslam NHardjawana WPignaton de Freitas E(2022)A Review of Flying Ad Hoc Networks: Key Characteristics, Applications, and Wireless TechnologiesRemote Sensing10.3390/rs1418445914:18(4459)Online publication date: 7-Sep-2022
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Sun HZhang BZhang XYu YSha KShi W(2022)FlexEdge: Dynamic Task Scheduling for a UAV-Based On-Demand Mobile Edge ServerIEEE Internet of Things Journal10.1109/JIOT.2022.31524479:17(15983-16005)Online publication date: 1-Sep-2022
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Bordin MGiordani MPolese MMelodia TZorzi M(2022)Autonomous Driving From the Sky: Design and End-to-End Performance Evaluation2022 IEEE Globecom Workshops (GC Wkshps)10.1109/GCWkshps56602.2022.10008495(1610-1615)Online publication date: 4-Dec-2022
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