Power- and Delay-Aware Mobile Application-Data Flow Adaptation: the MobiHealth System Case Study

K.E. Wac; Mortaza S. Bargh; P. Pawar; Bernhard J.F. van Beijnum; Arjan Peddemors; Richard G.A. Bults

doi:10.1109/HEALTH.2008.4600138

Power- and Delay-Aware Mobile Application-Data Flow Adaptation: the MobiHealth System Case Study

K.E. Wac, Mortaza S. Bargh, P. Pawar, Bernhard J.F. van Beijnum, Arjan Peddemors, Richard G.A. Bults

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

6 Citations (Scopus)

109 Downloads (Pure)

Abstract

Emerging healthcare applications rely on personal mobile devices to monitor patient vital signs and to send it to the hospitals-backend servers for further analysis. However, these personal mobile devices have limited resources that must be used optimally in order to meet the requirements of healthcare applications end-users: healthcare professionals and their patients. This paper reports on a case study of a cardiac telemonitoring application delivered by the so-called MobiHealth system. This system relies on a commercial personal mobile device with multiple (wireless) network interfaces (NI). The study focuses on how the choice of a NI affects the end-to-end application’s data delay (extremely important in case of patient’s emergency) and the energy consumption of the device (relating to the service sustainability while a patient is mobile). Our results show the trade-off between battery savings and the delay achieved by various NI activation strategies in combination with application-data flow adaptation. For a given mobile device, our study shows a gain of 40-90% in battery savings, traded against the higher delays (therefore applicable mainly in non-emergency cases). The insights of our studies can be used for application-data flow adaptation aiming at battery saving and prolonging device’s operation while patients being mobile.

Original language	Undefined
Title of host publication	Proceedings of 10th International Conference on e-health Networking, Applications and Services (HealthCom)
Editors	L.K. Mun, G. Cuntai
Publisher	IEEE Communications Society
Pages	212-218
Number of pages	7
ISBN (Print)	978-1-4244-2281-4
DOIs	https://doi.org/10.1109/HEALTH.2008.4600138
Publication status	Published - 7 Jul 2008
Event	2008 IEEE 10th International Conference on e-health Networking, Applications and Services, HealthCom 2008 - Singapore, Singapore Duration: 7 Jul 2008 → 9 Jul 2008 Conference number: 10

Publication series

Name
Publisher	IEEE Communications Society
Number	CFP08545-D

Conference

Conference	2008 IEEE 10th International Conference on e-health Networking, Applications and Services, HealthCom 2008
Abbreviated title	Healthcom
Country/Territory	Singapore
City	Singapore
Period	7/07/08 → 9/07/08

Keywords

EWI-14644
METIS-255026
IR-65231

Access to Document

10.1109/HEALTH.2008.4600138

Cite this

Wac, K. E., Bargh, M. S., Pawar, P., van Beijnum, B. J. F., Peddemors, A., & Bults, R. G. A. (2008). Power- and Delay-Aware Mobile Application-Data Flow Adaptation: the MobiHealth System Case Study. In L. K. Mun, & G. Cuntai (Eds.), Proceedings of 10th International Conference on e-health Networking, Applications and Services (HealthCom) (pp. 212-218). [10.1109/HEALTH.2008.4600138] IEEE Communications Society. https://doi.org/10.1109/HEALTH.2008.4600138

@inproceedings{9cc7f52f18974c0ca641b175c10b12bd,

title = "Power- and Delay-Aware Mobile Application-Data Flow Adaptation: the MobiHealth System Case Study",

abstract = "Emerging healthcare applications rely on personal mobile devices to monitor patient vital signs and to send it to the hospitals-backend servers for further analysis. However, these personal mobile devices have limited resources that must be used optimally in order to meet the requirements of healthcare applications end-users: healthcare professionals and their patients. This paper reports on a case study of a cardiac telemonitoring application delivered by the so-called MobiHealth system. This system relies on a commercial personal mobile device with multiple (wireless) network interfaces (NI). The study focuses on how the choice of a NI affects the end-to-end application{\textquoteright}s data delay (extremely important in case of patient{\textquoteright}s emergency) and the energy consumption of the device (relating to the service sustainability while a patient is mobile). Our results show the trade-off between battery savings and the delay achieved by various NI activation strategies in combination with application-data flow adaptation. For a given mobile device, our study shows a gain of 40-90% in battery savings, traded against the higher delays (therefore applicable mainly in non-emergency cases). The insights of our studies can be used for application-data flow adaptation aiming at battery saving and prolonging device{\textquoteright}s operation while patients being mobile.",

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author = "K.E. Wac and Bargh, {Mortaza S.} and P. Pawar and {van Beijnum}, {Bernhard J.F.} and Arjan Peddemors and Bults, {Richard G.A.}",

note = "10.1109/HEALTH.2008.4600138 ; null ; Conference date: 07-07-2008 Through 09-07-2008",

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Wac, KE, Bargh, MS, Pawar, P, van Beijnum, BJF, Peddemors, A & Bults, RGA 2008, Power- and Delay-Aware Mobile Application-Data Flow Adaptation: the MobiHealth System Case Study. in LK Mun & G Cuntai (eds), Proceedings of 10th International Conference on e-health Networking, Applications and Services (HealthCom)., 10.1109/HEALTH.2008.4600138, IEEE Communications Society, pp. 212-218, 2008 IEEE 10th International Conference on e-health Networking, Applications and Services, HealthCom 2008, Singapore, Singapore, 7/07/08. https://doi.org/10.1109/HEALTH.2008.4600138

Power- and Delay-Aware Mobile Application-Data Flow Adaptation: the MobiHealth System Case Study. / Wac, K.E.; Bargh, Mortaza S.; Pawar, P. et al.

Proceedings of 10th International Conference on e-health Networking, Applications and Services (HealthCom). ed. / L.K. Mun; G. Cuntai. IEEE Communications Society, 2008. p. 212-218 10.1109/HEALTH.2008.4600138.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Wac, K.E.

AU - Bargh, Mortaza S.

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AU - van Beijnum, Bernhard J.F.

AU - Peddemors, Arjan

AU - Bults, Richard G.A.

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AB - Emerging healthcare applications rely on personal mobile devices to monitor patient vital signs and to send it to the hospitals-backend servers for further analysis. However, these personal mobile devices have limited resources that must be used optimally in order to meet the requirements of healthcare applications end-users: healthcare professionals and their patients. This paper reports on a case study of a cardiac telemonitoring application delivered by the so-called MobiHealth system. This system relies on a commercial personal mobile device with multiple (wireless) network interfaces (NI). The study focuses on how the choice of a NI affects the end-to-end application’s data delay (extremely important in case of patient’s emergency) and the energy consumption of the device (relating to the service sustainability while a patient is mobile). Our results show the trade-off between battery savings and the delay achieved by various NI activation strategies in combination with application-data flow adaptation. For a given mobile device, our study shows a gain of 40-90% in battery savings, traded against the higher delays (therefore applicable mainly in non-emergency cases). The insights of our studies can be used for application-data flow adaptation aiming at battery saving and prolonging device’s operation while patients being mobile.

KW - EWI-14644

KW - METIS-255026

KW - IR-65231

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Wac KE, Bargh MS, Pawar P, van Beijnum BJF, Peddemors A, Bults RGA. Power- and Delay-Aware Mobile Application-Data Flow Adaptation: the MobiHealth System Case Study. In Mun LK, Cuntai G, editors, Proceedings of 10th International Conference on e-health Networking, Applications and Services (HealthCom). IEEE Communications Society. 2008. p. 212-218. 10.1109/HEALTH.2008.4600138 doi: 10.1109/HEALTH.2008.4600138