Optimal Network QoS over the Internet of Vehicles for E-Health Applications

Optimal Network QoS over the Internet of Vehicles for E-Health Applications

Wireless technologies are pervasive to support ubiquitous healthcare applications. However, a critical issue of using wireless communications under a healthcare scenario is the electromagnetic interference (EMI) caused by RF transmission, and a high level of EMI may lead to a critical malfunction of...

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Main Authors: Di Lin, Yuanzhe Yao, Fabrice Labeau, Yu Tang, Athanasios V. Vasilakos
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2016/5140486
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spelling doaj-20567fbe1b534f689b76528a45bf42bd2021-07-02T09:30:12ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2016-01-01201610.1155/2016/51404865140486Optimal Network QoS over the Internet of Vehicles for E-Health ApplicationsDi Lin0Yuanzhe Yao1Fabrice Labeau2Yu Tang3Athanasios V. Vasilakos4School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610000, ChinaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610000, ChinaElectrical and Computer Engineering Department, McGill University, Montreal, QC, H3A 0G4, CanadaSchool of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610000, ChinaDepartment of Computer Science, Electrical and Space Engineering, Lulea University of Technology, 97187 Lulea, SwedenWireless technologies are pervasive to support ubiquitous healthcare applications. However, a critical issue of using wireless communications under a healthcare scenario is the electromagnetic interference (EMI) caused by RF transmission, and a high level of EMI may lead to a critical malfunction of medical sensors. In consideration of EMI on medical sensors, we study the optimization of quality of service (QoS) within the whole Internet of vehicles for E-health and propose a novel model to optimize the QoS by allocating the transmit power of each user. Our results show that the optimal power control policy depends on the objective of optimization problems: a greedy policy is optimal to maximize the summation of QoS of each user, whereas a fair policy is optimal to maximize the product of QoS of each user. Algorithms are taken to derive the optimal policies, and numerical results of optimizing QoS are presented for both objectives and QoS constraints.http://dx.doi.org/10.1155/2016/5140486
collection DOAJ
language English
format Article
sources DOAJ
author Di Lin
Yuanzhe Yao
Fabrice Labeau
Yu Tang
Athanasios V. Vasilakos
spellingShingle Di Lin
Yuanzhe Yao
Fabrice Labeau
Yu Tang
Athanasios V. Vasilakos
Optimal Network QoS over the Internet of Vehicles for E-Health Applications
Mobile Information Systems
author_facet Di Lin
Yuanzhe Yao
Fabrice Labeau
Yu Tang
Athanasios V. Vasilakos
author_sort Di Lin
title Optimal Network QoS over the Internet of Vehicles for E-Health Applications
title_short Optimal Network QoS over the Internet of Vehicles for E-Health Applications
title_full Optimal Network QoS over the Internet of Vehicles for E-Health Applications
title_fullStr Optimal Network QoS over the Internet of Vehicles for E-Health Applications
title_full_unstemmed Optimal Network QoS over the Internet of Vehicles for E-Health Applications
title_sort optimal network qos over the internet of vehicles for e-health applications
publisher Hindawi Limited
series Mobile Information Systems
issn 1574-017X
1875-905X
publishDate 2016-01-01
description Wireless technologies are pervasive to support ubiquitous healthcare applications. However, a critical issue of using wireless communications under a healthcare scenario is the electromagnetic interference (EMI) caused by RF transmission, and a high level of EMI may lead to a critical malfunction of medical sensors. In consideration of EMI on medical sensors, we study the optimization of quality of service (QoS) within the whole Internet of vehicles for E-health and propose a novel model to optimize the QoS by allocating the transmit power of each user. Our results show that the optimal power control policy depends on the objective of optimization problems: a greedy policy is optimal to maximize the summation of QoS of each user, whereas a fair policy is optimal to maximize the product of QoS of each user. Algorithms are taken to derive the optimal policies, and numerical results of optimizing QoS are presented for both objectives and QoS constraints.
url http://dx.doi.org/10.1155/2016/5140486
work_keys_str_mv AT dilin optimalnetworkqosovertheinternetofvehiclesforehealthapplications
AT yuanzheyao optimalnetworkqosovertheinternetofvehiclesforehealthapplications
AT fabricelabeau optimalnetworkqosovertheinternetofvehiclesforehealthapplications
AT yutang optimalnetworkqosovertheinternetofvehiclesforehealthapplications
AT athanasiosvvasilakos optimalnetworkqosovertheinternetofvehiclesforehealthapplications
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