Determining quality- and energy-aware multiple contexts in pervasive computing environments

• Main Authors: ROY, Nirmalya, MISRA, Archan, DAS, Sajal K., JULIEN, Christine
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Context-awareness; Energy-efficiency; Multi-context recognition; Streaming multi-modal sensors; Computer Sciences; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/3140; https://ink.library.smu.edu.sg/context/sis_research/article/4140/viewcontent/DeterminingQuality_Energy_Aware_2016.pdf
• Institution: Singapore Management University

In pervasive computing environments, understanding the context of an entity is essential for adapting the application behavior to changing situations. In our view, context is a high-level representation of a user or entity's state and can capture location, activities, social relationships, capa...