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QoE-based optimal resource allocation in wireless healthcare networks: opportunities and challenges
School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu.
Department of Electrical and Computer Engineering, McGill University, Montreal.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
2015 (English)In: Wireless networks, ISSN 1022-0038, E-ISSN 1572-8196, Vol. 21, no 8, p. 2483-2500Article in journal (Refereed) Published
Abstract [en]

Ubiquitous health monitoring is a mobile health service with the aim of monitoring patients’ conditions anytime and anywhere by collecting and transferring biosignal data from patients to health-service providers (e.g., healthcare centers). As a critical issue in ubiquitous health monitoring, wireless resource allocation can influence the performance of health monitoring, and the majority of work in wireless resource allocation for health monitoring has focused on quality-of-service oriented allocation schemes with primary challenges at the physical and MAC layers. Recently, quality-of-experience (QoE) oriented resource allocation schemes in wireless health monitoring have attracted attentions as a promising design to a better service of healthcare monitoring. In this paper, we overview the metrics of assessing the quality of medical images, and discuss the performance of these metrics in QoE-oriented resource allocation for health monitoring. We start with addressing the state-of-the-art QoE metrics by providing a taxonomy of the different metrics employed in assessing medical images. We then present the design of resource allocation schemes for health monitoring. After that, we present a case study to compare the performance of different classes of metrics in designing resource allocation schemes. We end the paper with a few open issues in the design of novel QoE metrics for resource allocation in health monitoring.

Place, publisher, year, edition, pages
2015. Vol. 21, no 8, p. 2483-2500
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-10430DOI: 10.1007/s11276-015-0927-yLocal ID: 93c712ff-9062-45c1-a221-25b91f757cb0OAI: oai:DiVA.org:ltu-10430DiVA, id: diva2:983375
Note
Validerad; 2015; Nivå 2; 20151105 (andbra)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-01-10Bibliographically approved

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Vasilakos, Athanasios

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