Using QoC for improving energy-efficient context management in U-Health Systems

Abstract : Context Management Framework (CMF) for Ubiquitous Health (U-Health) Systems should be able to continuously gather raw data from observed entities to characterize their current situation (context). However, the death of battery-dependent sensors reduce their ability for detecting the context, which directly affects the availability of context-aware u-health services. This paper proposes the use of Quality of Context (QoC) integrated with a data reduction approach to minimize the amount of sensed raw data sent to CMF, reducing the energy consumption and maximizing the lifetime of sensor-based CMF. The proposed approach rebuilds the gathered raw data taking into account QoC requirements, avoiding the loss of precision (QoC Indicator precision) and timeliness (QoC Indicator up-to-dateness), which has been integrated into our Context Management Framework (CxtMF). Experimental results demonstrate the effectiveness of our approach by reducing the amount of packets sent over network to 3% for the ECG monitoring service.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01115593
Contributor : Frédéric Davesne <>
Submitted on : Wednesday, February 11, 2015 - 12:56:58 PM
Last modification on : Monday, October 28, 2019 - 10:50:21 AM

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Olga Valéria, Anderson Ribeiro,, Líliam Barroso Leal, Marcus Vinicius Lemos, Carlos Giovanni Carvalho, et al.. Using QoC for improving energy-efficient context management in U-Health Systems. 2014 16th IEEE International Conference on e-Health Networking, Applications and Services (Healthcom 2014), Oct 2014, Natal, Brazil. pp.317--322, ⟨10.1109/HealthCom.2014.7001861⟩. ⟨hal-01115593⟩

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