Network-assisted smart access point selection for pervasive real-time mHealth applications

Norbert Varga (Corresponding Author), Esa Piri, Laszlo Bokor

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)

Abstract

Due to the fast evolution of wireless access networks and high-performance mobile devices together with the spreading of wearable medical sensors, electronic healthcare (eHealth) services have recently started to receive more and more attention, especially in the mobile Health (mHealth) domain. The vast majority of mHealth services require strict medical level Quality of Service (QoS) and Quality of Experience (QoE) provision. Emergency use-cases, remote patient monitoring, tele-consultation and guided surgical intervention require real-time communication and appropriate connection quality. The increasing significance of different overlapping wireless accesses makes possible to provide the required network resources for ubiquitous and pervasive mHealth applications. Aiming to support such use-cases in a heterogeneous network environment, we propose a network-assisted intelligent access point selection scheme for ubiquitous applications of Future Internet architectures focusing on real-time mobile telemedicine services. Our solution is able to discover nearby base stations that cover the current location of the mobile device efficiently and to trigger heterogeneous handovers based on the state and quality of the current access network. The solution is empirically evaluated in Wi-Fi networks used by real-life Android mobile devices and we observed that the scheme can improve the quality of mHealth applications and enhance traffic load balancing capabilities of wireless architectures.
Original languageEnglish
Pages (from-to)317-324
JournalProcedia Computer Science
Volume63
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed
Event5th International Conference on Current and Future Trends of Information andCommunication Technologies in Healthcare, ICTH 2015, 27 - 30 September 2015, Berlin, Germany -
Duration: 1 Jan 2015 → …

Fingerprint

Mobile devices
Remote patient monitoring
Wi-Fi
Telemedicine
Heterogeneous networks
Telecommunication traffic
Base stations
Resource allocation
Quality of service
Internet
mHealth
Communication
Sensors
Android (operating system)

Keywords

  • network-assisted handover
  • context-awareness
  • multi-criteria decision engine
  • DDE
  • NIS
  • Android
  • real-time mHealth services
  • multi-sensor based patient monitoring
  • ubiquitous tele-consultation
  • Body Area Network

Cite this

Varga, Norbert ; Piri, Esa ; Bokor, Laszlo. / Network-assisted smart access point selection for pervasive real-time mHealth applications. In: Procedia Computer Science. 2015 ; Vol. 63. pp. 317-324.
@article{4b5cb5d444cc43bea73a7a102c3576f5,
title = "Network-assisted smart access point selection for pervasive real-time mHealth applications",
abstract = "Due to the fast evolution of wireless access networks and high-performance mobile devices together with the spreading of wearable medical sensors, electronic healthcare (eHealth) services have recently started to receive more and more attention, especially in the mobile Health (mHealth) domain. The vast majority of mHealth services require strict medical level Quality of Service (QoS) and Quality of Experience (QoE) provision. Emergency use-cases, remote patient monitoring, tele-consultation and guided surgical intervention require real-time communication and appropriate connection quality. The increasing significance of different overlapping wireless accesses makes possible to provide the required network resources for ubiquitous and pervasive mHealth applications. Aiming to support such use-cases in a heterogeneous network environment, we propose a network-assisted intelligent access point selection scheme for ubiquitous applications of Future Internet architectures focusing on real-time mobile telemedicine services. Our solution is able to discover nearby base stations that cover the current location of the mobile device efficiently and to trigger heterogeneous handovers based on the state and quality of the current access network. The solution is empirically evaluated in Wi-Fi networks used by real-life Android mobile devices and we observed that the scheme can improve the quality of mHealth applications and enhance traffic load balancing capabilities of wireless architectures.",
keywords = "network-assisted handover, context-awareness, multi-criteria decision engine, DDE, NIS, Android, real-time mHealth services, multi-sensor based patient monitoring, ubiquitous tele-consultation, Body Area Network",
author = "Norbert Varga and Esa Piri and Laszlo Bokor",
year = "2015",
doi = "10.1016/j.procs.2015.08.349",
language = "English",
volume = "63",
pages = "317--324",
journal = "Procedia Computer Science",
issn = "1877-0509",
publisher = "Elsevier",

}

Network-assisted smart access point selection for pervasive real-time mHealth applications. / Varga, Norbert (Corresponding Author); Piri, Esa; Bokor, Laszlo.

In: Procedia Computer Science, Vol. 63, 2015, p. 317-324.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Network-assisted smart access point selection for pervasive real-time mHealth applications

AU - Varga, Norbert

AU - Piri, Esa

AU - Bokor, Laszlo

PY - 2015

Y1 - 2015

N2 - Due to the fast evolution of wireless access networks and high-performance mobile devices together with the spreading of wearable medical sensors, electronic healthcare (eHealth) services have recently started to receive more and more attention, especially in the mobile Health (mHealth) domain. The vast majority of mHealth services require strict medical level Quality of Service (QoS) and Quality of Experience (QoE) provision. Emergency use-cases, remote patient monitoring, tele-consultation and guided surgical intervention require real-time communication and appropriate connection quality. The increasing significance of different overlapping wireless accesses makes possible to provide the required network resources for ubiquitous and pervasive mHealth applications. Aiming to support such use-cases in a heterogeneous network environment, we propose a network-assisted intelligent access point selection scheme for ubiquitous applications of Future Internet architectures focusing on real-time mobile telemedicine services. Our solution is able to discover nearby base stations that cover the current location of the mobile device efficiently and to trigger heterogeneous handovers based on the state and quality of the current access network. The solution is empirically evaluated in Wi-Fi networks used by real-life Android mobile devices and we observed that the scheme can improve the quality of mHealth applications and enhance traffic load balancing capabilities of wireless architectures.

AB - Due to the fast evolution of wireless access networks and high-performance mobile devices together with the spreading of wearable medical sensors, electronic healthcare (eHealth) services have recently started to receive more and more attention, especially in the mobile Health (mHealth) domain. The vast majority of mHealth services require strict medical level Quality of Service (QoS) and Quality of Experience (QoE) provision. Emergency use-cases, remote patient monitoring, tele-consultation and guided surgical intervention require real-time communication and appropriate connection quality. The increasing significance of different overlapping wireless accesses makes possible to provide the required network resources for ubiquitous and pervasive mHealth applications. Aiming to support such use-cases in a heterogeneous network environment, we propose a network-assisted intelligent access point selection scheme for ubiquitous applications of Future Internet architectures focusing on real-time mobile telemedicine services. Our solution is able to discover nearby base stations that cover the current location of the mobile device efficiently and to trigger heterogeneous handovers based on the state and quality of the current access network. The solution is empirically evaluated in Wi-Fi networks used by real-life Android mobile devices and we observed that the scheme can improve the quality of mHealth applications and enhance traffic load balancing capabilities of wireless architectures.

KW - network-assisted handover

KW - context-awareness

KW - multi-criteria decision engine

KW - DDE

KW - NIS

KW - Android

KW - real-time mHealth services

KW - multi-sensor based patient monitoring

KW - ubiquitous tele-consultation

KW - Body Area Network

UR - https://www.sciencedirect.com/journal/procedia-computer-science/vol/63/suppl/C

U2 - 10.1016/j.procs.2015.08.349

DO - 10.1016/j.procs.2015.08.349

M3 - Article

VL - 63

SP - 317

EP - 324

JO - Procedia Computer Science

JF - Procedia Computer Science

SN - 1877-0509

ER -