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

Lin, D; Yao, Y; Labeau, F; Tang, Y; Vasilakos, AV

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

Lin, D Yao, Y Labeau, F Tang, Y Vasilakos, AV

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Publisher:: HINDAWI LTD
Publication Type:: Journal Article
Citation:: Mobile Information Systems, 2016, 2016
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Lin, D
dc.contributor.author	Yao, Y
dc.contributor.author	Labeau, F
dc.contributor.author	Tang, Y
dc.contributor.author	Vasilakos, AV
dc.date.accessioned	2022-08-11T20:44:27Z
dc.date.available	2022-08-11T20:44:27Z
dc.date.issued	2016-01-01
dc.identifier.citation	Mobile Information Systems, 2016, 2016
dc.identifier.issn	1574-017X
dc.identifier.issn	1875-905X
dc.identifier.uri	http://hdl.handle.net/10453/159978
dc.description.abstract	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.
dc.language	English
dc.publisher	HINDAWI LTD
dc.relation.ispartof	Mobile Information Systems
dc.relation.isbasedon	10.1155/2016/5140486
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0805 Distributed Computing, 0806 Information Systems
dc.subject.classification	Information Systems
dc.title	Optimal Network QoS over the Internet of Vehicles for E-Health Applications
dc.type	Journal Article
utslib.citation.volume	2016
utslib.for	0805 Distributed Computing
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2022-08-11T20:44:25Z
pubs.publication-status	Published
pubs.volume	2016

Abstract:

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.

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http://hdl.handle.net/10453/159978