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Dynamic Computation Offloading Scheme for Drone-Based Surveillance Systems †

Recently, various technologies for utilizing unmanned aerial vehicles have been studied. Drones are a kind of unmanned aerial vehicle. Drone-based mobile surveillance systems can be applied for various purposes such as object recognition or object tracking. In this paper, we propose a mobility-aware...

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Detalles Bibliográficos
Autores principales: Kim, Bongjae, Min, Hong, Heo, Junyoung, Jung, Jinman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165547/
https://www.ncbi.nlm.nih.gov/pubmed/30200675
http://dx.doi.org/10.3390/s18092982
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author Kim, Bongjae
Min, Hong
Heo, Junyoung
Jung, Jinman
author_facet Kim, Bongjae
Min, Hong
Heo, Junyoung
Jung, Jinman
author_sort Kim, Bongjae
collection PubMed
description Recently, various technologies for utilizing unmanned aerial vehicles have been studied. Drones are a kind of unmanned aerial vehicle. Drone-based mobile surveillance systems can be applied for various purposes such as object recognition or object tracking. In this paper, we propose a mobility-aware dynamic computation offloading scheme, which can be used for tracking and recognizing a moving object on the drone. The purpose of the proposed scheme is to reduce the time required for recognizing and tracking a moving target object. Reducing recognition and tracking time is a very important issue because it is a very time critical job. Our dynamic computation offloading scheme considers both the dwell time of the moving target object and the network failure rate to estimate the response time accurately. Based on the simulation results, our dynamic computation offloading scheme can reduce the response time required for tracking the moving target object efficiently.
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spelling pubmed-61655472018-10-10 Dynamic Computation Offloading Scheme for Drone-Based Surveillance Systems † Kim, Bongjae Min, Hong Heo, Junyoung Jung, Jinman Sensors (Basel) Article Recently, various technologies for utilizing unmanned aerial vehicles have been studied. Drones are a kind of unmanned aerial vehicle. Drone-based mobile surveillance systems can be applied for various purposes such as object recognition or object tracking. In this paper, we propose a mobility-aware dynamic computation offloading scheme, which can be used for tracking and recognizing a moving object on the drone. The purpose of the proposed scheme is to reduce the time required for recognizing and tracking a moving target object. Reducing recognition and tracking time is a very important issue because it is a very time critical job. Our dynamic computation offloading scheme considers both the dwell time of the moving target object and the network failure rate to estimate the response time accurately. Based on the simulation results, our dynamic computation offloading scheme can reduce the response time required for tracking the moving target object efficiently. MDPI 2018-09-06 /pmc/articles/PMC6165547/ /pubmed/30200675 http://dx.doi.org/10.3390/s18092982 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Bongjae
Min, Hong
Heo, Junyoung
Jung, Jinman
Dynamic Computation Offloading Scheme for Drone-Based Surveillance Systems †
title Dynamic Computation Offloading Scheme for Drone-Based Surveillance Systems †
title_full Dynamic Computation Offloading Scheme for Drone-Based Surveillance Systems †
title_fullStr Dynamic Computation Offloading Scheme for Drone-Based Surveillance Systems †
title_full_unstemmed Dynamic Computation Offloading Scheme for Drone-Based Surveillance Systems †
title_short Dynamic Computation Offloading Scheme for Drone-Based Surveillance Systems †
title_sort dynamic computation offloading scheme for drone-based surveillance systems †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6165547/
https://www.ncbi.nlm.nih.gov/pubmed/30200675
http://dx.doi.org/10.3390/s18092982
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