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المؤلفAbdellatifA.A.
المؤلفMohamedA.
المؤلفChiasseriniC.-F.
تاريخ الإتاحة2019-10-03T10:50:03Z
تاريخ النشر2018
اسم المنشورIEEE Systems Journal
المصدرScopus
الرقم المعياري الدولي للكتاب19328184
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/JSYST.2017.2785302
معرّف المصادر الموحدhttp://hdl.handle.net/10576/12035
الملخصThe increasing demand for intelligent and sustainable healthcare services has prompted the development of smart health systems. Rapid advances in wireless access technologies and in-network data reduction techniques can significantly assist in implementing such smart systems through providing seamless integration of heterogeneous wireless networks, medical devices, and ubiquitous access to data. Utilization of the spectrum across diverse radio technologies is expected to significantly enhance network capacity and quality of service (QoS) for emerging applications such as remote monitoring over mobile-health (m-health) systems. However, this imposes an essential need to develop innovative networks selection mechanisms that account for energy efficiency while meeting application quality requirements. In this context, this paper proposes an efficient networks selection mechanism with adaptive compression for improving medical data delivery over heterogeneous m-health systems. We consider different performance aspects, as well as networks characteristics and application requirements, so as to obtain an efficient solution that grasps the conflicting nature of the various users' objectives and addresses their inherent tradeoffs. The proposed methodology advocates a user-centric approach towards leveraging heterogeneous wireless networks to enhance the performance of m-health systems. Simulation results show that our solution significantly outperforms state-of-the-art techniques.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعHeterogeneouswirelessenvironment
mobilehealth
multi-RATarchitectures
networkselection
optimizationdecomposition
العنوانUser-Centric Networks Selection with Adaptive Data Compression for Smart Health
النوعArticle
الصفحات3618-3628
رقم العدد4
رقم المجلد12
dc.accessType Abstract Only


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