Power- and delay-aware mobile application-data flow adaptation: The MobiHealth system case study
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Power- and delay-aware mobile application-data flow adaptation : The MobiHealth system case study. / Wac, Katarzyna; Bargh, Mortaza; Peddemors, Arjan; Pawar, Pravin; Van Beijnum, Bert Jan; Bults, Richard.
2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008. 2008. p. 212-218 4600138 (2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - Power- and delay-aware mobile application-data flow adaptation
T2 - 2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008
AU - Wac, Katarzyna
AU - Bargh, Mortaza
AU - Peddemors, Arjan
AU - Pawar, Pravin
AU - Van Beijnum, Bert Jan
AU - Bults, Richard
PY - 2008/10/6
Y1 - 2008/10/6
N2 - 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 devices have limited resources that must be used optimally in order to meet the requirements of healthcare applications endusers: 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 device with multiple (wireless) network interfaces (NI). Our 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 the delay and battery savings 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 for mobile patients.
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 devices have limited resources that must be used optimally in order to meet the requirements of healthcare applications endusers: 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 device with multiple (wireless) network interfaces (NI). Our 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 the delay and battery savings 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 for mobile patients.
KW - Application adaptation
KW - End-to-end delay
KW - Energy efficiency
KW - Mobile device connectivity management
KW - Mobile healthcare
UR - http://www.scopus.com/inward/record.url?scp=52949122180&partnerID=8YFLogxK
U2 - 10.1109/HEALTH.2008.4600138
DO - 10.1109/HEALTH.2008.4600138
M3 - Article in proceedings
AN - SCOPUS:52949122180
SN - 9781424422814
T3 - 2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008
SP - 212
EP - 218
BT - 2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008
Y2 - 7 July 2008 through 9 July 2008
ER -
ID: 229895324