An Approach to Data Fusion for Context Awareness

We propose and develop an approach modeled with multi-attribute utility theory for sensor fusion in context-aware environments. Our approach is distinguished from existing general purpose fusion techniques by a number of factors including a general underlying context model it is built upon and a set of heuristics it covers. The technique is developed for context-aware applications and we argue that it provides various advantages for data fusion in contextaware scenarios. We experimentally evaluate our approach with actual use cases using real sensors.

• Type: Conference
• Year: 2005
• Where: CONTEXT
• Authors: Amir Padovitz, Seng Wai Loke, Arkady B. Zaslavsky, Bernard Burg, Claudio Bartolini
• Keywords: CONTEXT 2005, Context-aware Environments, General Purpose Fusion, Sensor Fusion