A quality-aware and energy-efficient context management framework for ubiquitous systems

  • Bezerra V
  • Junior M
  • Valeria O
 et al. 
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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.

Author-supplied keywords

  • Context Management Framework
  • Context-awareness
  • Data Reduction
  • Quality of Context
  • Ubiquitous systems

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Authors

  • Marcus LemosUniversidade Estadual do Piaui

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  • Vinicius Bezerra

  • Misael C. Junior

  • Olga Valeria

  • Constantino D. Neto

  • Liliam Leal

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