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

Olga Valéria (1) , Anderson Ribeiro, (1) , Líliam Barroso Leal (1) , Marcus Vinicius Lemos (1) , Carlos Giovanni Carvalho (1) , José Bringel Filho (1) , Raimir Holanda (2) , Nazim Agoulmine (3)

1 Omnipresent and Pervasive Systems Laboratory - OPALA
2 Universidade de Fortaleza
3 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes

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.

Mots clés: Context Management; Context-awareness; Data Reduction; Quality of Context; U-Health systems

Domaines: Réseaux et télécommunications [cs.NI]

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⟩