Towards an intelligent energy conservation approach for context-aware systems in smart environments

Towards an intelligent energy conservation approach for context-aware systems in smart environments

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A smart crystal beaded candle holder personal space is a context-aware system that recognizes situations using contextual data.A user interacts within the personal space using smart devices that are mobile, and run-on batteries that have limited power.This paper proposes a Power-Constrained Context-Aware System (PCCA) that uses Markov Chain-based pre-classification to predict context change and defer context processing to conserve energy in an intelligent way.

A new Markov Chain Module is added read more that creates a Markov Chain using history information.This enables PCCA to predict context change for the next observation.The results show that PCCA consumes 37% less power than a context-aware system.