King's College London

Research portal

High Mobility Multi Modal E-Health Services

Research output: Chapter in Book/Report/Conference proceedingConference paper

Standard

High Mobility Multi Modal E-Health Services. / Zheng, Gao; Wang, Chih Yu; Friderikos, Vasilis; Dohler, Mischa.

2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. Vol. 2018-May Institute of Electrical and Electronics Engineers Inc., 2018. 8422887.

Research output: Chapter in Book/Report/Conference proceedingConference paper

Harvard

Zheng, G, Wang, CY, Friderikos, V & Dohler, M 2018, High Mobility Multi Modal E-Health Services. in 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. vol. 2018-May, 8422887, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Conference on Communications, ICC 2018, Kansas City, United States, 20/05/2018. https://doi.org/10.1109/ICC.2018.8422887

APA

Zheng, G., Wang, C. Y., Friderikos, V., & Dohler, M. (2018). High Mobility Multi Modal E-Health Services. In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings (Vol. 2018-May). [8422887] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2018.8422887

Vancouver

Zheng G, Wang CY, Friderikos V, Dohler M. High Mobility Multi Modal E-Health Services. In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. Vol. 2018-May. Institute of Electrical and Electronics Engineers Inc. 2018. 8422887 https://doi.org/10.1109/ICC.2018.8422887

Author

Zheng, Gao ; Wang, Chih Yu ; Friderikos, Vasilis ; Dohler, Mischa. / High Mobility Multi Modal E-Health Services. 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. Vol. 2018-May Institute of Electrical and Electronics Engineers Inc., 2018.

Bibtex Download

@inbook{e41ca43b3a5c4ee3a8fe394fb1b5f556,
title = "High Mobility Multi Modal E-Health Services",
abstract = "In emergency medical services, the lag time between injury and treatment is one of the most critical parameters with respect to patient survivability. Ambulance services aim to maximize the likelihood of prompt medical treatment to prevent death and/or potential non-reversible damages. The emerging Tactile Internet has a vital role to play on that frontier by allowing next generation of ambulances to be equipped with advanced haptic/tactile devices to allow pre-hospital treatment/diagnosis or even remote surgery while en route. In this paper we propose a novel reliable multi-modal e- health high mobility service optimization framework for ambulances utilizing mobile edge clouds to efficiently transport real time patient information to the hospital. The main challenge of the proposed e- health service is to guarantee the heterogeneous QoS requirements of all involved data flows between the ambulance and the medical personnel. To this end, we formulate the service configuration problem as an optimization problem. In addition, a set of low- complexity algorithms are proposed to provide competitive solutions in real-time. A comprehensive set of numerical investigations are presented to characterize the attainable system performance of the proposed schemes.",
keywords = "5G, E-health, Haptic applications, Mobility, Resource allocation, Routing, Tactile",
author = "Gao Zheng and Wang, {Chih Yu} and Vasilis Friderikos and Mischa Dohler",
year = "2018",
month = "7",
day = "27",
doi = "10.1109/ICC.2018.8422887",
language = "English",
isbn = "9781538631805",
volume = "2018-May",
booktitle = "2018 IEEE International Conference on Communications, ICC 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

RIS (suitable for import to EndNote) Download

TY - CHAP

T1 - High Mobility Multi Modal E-Health Services

AU - Zheng, Gao

AU - Wang, Chih Yu

AU - Friderikos, Vasilis

AU - Dohler, Mischa

PY - 2018/7/27

Y1 - 2018/7/27

N2 - In emergency medical services, the lag time between injury and treatment is one of the most critical parameters with respect to patient survivability. Ambulance services aim to maximize the likelihood of prompt medical treatment to prevent death and/or potential non-reversible damages. The emerging Tactile Internet has a vital role to play on that frontier by allowing next generation of ambulances to be equipped with advanced haptic/tactile devices to allow pre-hospital treatment/diagnosis or even remote surgery while en route. In this paper we propose a novel reliable multi-modal e- health high mobility service optimization framework for ambulances utilizing mobile edge clouds to efficiently transport real time patient information to the hospital. The main challenge of the proposed e- health service is to guarantee the heterogeneous QoS requirements of all involved data flows between the ambulance and the medical personnel. To this end, we formulate the service configuration problem as an optimization problem. In addition, a set of low- complexity algorithms are proposed to provide competitive solutions in real-time. A comprehensive set of numerical investigations are presented to characterize the attainable system performance of the proposed schemes.

AB - In emergency medical services, the lag time between injury and treatment is one of the most critical parameters with respect to patient survivability. Ambulance services aim to maximize the likelihood of prompt medical treatment to prevent death and/or potential non-reversible damages. The emerging Tactile Internet has a vital role to play on that frontier by allowing next generation of ambulances to be equipped with advanced haptic/tactile devices to allow pre-hospital treatment/diagnosis or even remote surgery while en route. In this paper we propose a novel reliable multi-modal e- health high mobility service optimization framework for ambulances utilizing mobile edge clouds to efficiently transport real time patient information to the hospital. The main challenge of the proposed e- health service is to guarantee the heterogeneous QoS requirements of all involved data flows between the ambulance and the medical personnel. To this end, we formulate the service configuration problem as an optimization problem. In addition, a set of low- complexity algorithms are proposed to provide competitive solutions in real-time. A comprehensive set of numerical investigations are presented to characterize the attainable system performance of the proposed schemes.

KW - 5G

KW - E-health

KW - Haptic applications

KW - Mobility

KW - Resource allocation

KW - Routing

KW - Tactile

UR - http://www.scopus.com/inward/record.url?scp=85051424997&partnerID=8YFLogxK

U2 - 10.1109/ICC.2018.8422887

DO - 10.1109/ICC.2018.8422887

M3 - Conference paper

AN - SCOPUS:85051424997

SN - 9781538631805

VL - 2018-May

BT - 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

View graph of relations

© 2018 King's College London | Strand | London WC2R 2LS | England | United Kingdom | Tel +44 (0)20 7836 5454