Internet of vehicles for E-health applications in view of EMI on medical sensors
Document identifier: oai:DiVA.org:ltu-7593
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10.1155/2015/315948Keyword: Natural Sciences,
Computer and Information Sciences,
Media and Communication Technology,
Naturvetenskap,
Data- och informationsvetenskap,
Medieteknik,
Mobile and Pervasive Computing,
Distribuerade datorsystemPublication year: 2015Relevant Sustainable Development Goals (SDGs):
The SDG label(s) above have been assigned by OSDG.aiAbstract: Wireless technologies are pervasive to support ubiquitous healthcare applications. However, RF transmission in wireless technologies can lead to electromagnetic interference (EMI) on medical sensors under a healthcare scenario, and a high level of EMI may lead to a critical malfunction of medical sensors. In view of EMI to medical sensors, we propose a joint power and rate control algorithm under game theoretic framework to schedule data transmission at each of wireless sensors. The objective of such a game is to maximize the utility of each wireless user subject to the EMI constraints for medical sensors. We show that the proposed game has a unique Nash equilibrium and our joint power and rate control algorithm would converge to the Nash equilibrium. Numerical results illustrate that the proposed algorithm can achieve robust performance against the variations of mobile hospital environments
Authors
Di Lin
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu
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Xuanli Wu
Communication Technology Research Center, Harbin Institute of Technology
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Fabrice Labeau
Department of Electrical and Computer Engineering, McGill University, Montreal
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Athanasios Vasilakos
Luleå tekniska universitet; Datavetenskap
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>>
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identifier: oai:DiVA.org:ltu-7593
datestamp: 2021-04-19T12:21:46Z
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10.1155/2015/315948
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titleInfo:
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lang: eng
title: Internet of vehicles for E-health applications in view of EMI on medical sensors
abstract: Wireless technologies are pervasive to support ubiquitous healthcare applications. However RF transmission in wireless technologies can lead to electromagnetic interference (EMI) on medical sensors under a healthcare scenario and a high level of EMI may lead to a critical malfunction of medical sensors. In view of EMI to medical sensors we propose a joint power and rate control algorithm under game theoretic framework to schedule data transmission at each of wireless sensors. The objective of such a game is to maximize the utility of each wireless user subject to the EMI constraints for medical sensors. We show that the proposed game has a unique Nash equilibrium and our joint power and rate control algorithm would converge to the Nash equilibrium. Numerical results illustrate that the proposed algorithm can achieve robust performance against the variations of mobile hospital environments
subject:
@attributes:
lang: eng
authority: uka.se
topic:
Natural Sciences
Computer and Information Sciences
Media and Communication Technology
@attributes:
lang: swe
authority: uka.se
topic:
Naturvetenskap
Data- och informationsvetenskap
Medieteknik
@attributes:
lang: eng
authority: ltu
topic: Mobile and Pervasive Computing
genre: Research subject
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lang: swe
authority: ltu
topic: Distribuerade datorsystem
genre: Research subject
language:
languageTerm: eng
genre:
publication/journal-article
ref
note:
Published
4
Validerad; 2015; Nivå 2; 20150417 (andbra)
name:
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namePart:
Lin
Di
role:
roleTerm: aut
affiliation: School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu
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Wu
Xuanli
role:
roleTerm: aut
affiliation: Communication Technology Research Center Harbin Institute of Technology
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Labeau
Fabrice
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roleTerm: aut
affiliation: Department of Electrical and Computer Engineering McGill University Montreal
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Vasilakos
Athanasios
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Luleå tekniska universitet
Datavetenskap
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thanos
0000-0003-1902-9877
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dateIssued: 2015
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title: Journal of Sensors
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1687-725X
1687-7268
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number: 2015
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number: 315948
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