Aljulayfi, AF and Djemame, K orcid.org/0000-0001-5811-5263 (2019) Simulation of an augmented reality application for driverless cars in an edge computing environment. In: 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT). The Fifth International Symposium on Innovation in Information and Communication Technology, ISIICT 2018, 31 Oct - 01 Nov 2018, Amman, Jordan. IEEE ISBN 9781538662243
Abstract
Edge Computing (EC) has been gaining a lot of attention in recent years due to the Internet of Things (IoT) requirements which cannot be addressed by the cloud. It aims to move the computing capabilities and resources closer to the edge of the network to fulfil IoT requirements such as location awareness, and mobility support. Furthermore, EC applications scalability is affected by computational and network system parameters. Investigating the effect of these parameters will help support the design of future applications, especially with the massive growth in the number of IoT devices. This paper aims to simulate an augmented reality application for driverless cars in order to study the effect of computational and network system parameters in an edge environment. An extensive simulation-based investigation is carried out and recommendations are made for edge applications future design.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2018, IEEE. This is an author produced version of a paper published in the Proceedings of the Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT). Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Edge Computing, Augmented Reality, Driverless Cars, EdgeCloudSim. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Mar 2019 11:57 |
Last Modified: | 26 Mar 2019 10:14 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ISIICT.2018.8651268 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143898 |