Degan Zhang, Guangping Zeng, Enyi Chen, Baopeng Zhang
2005.8.1International Journal of Pervasive Computing and Communications
tlooto Summary
This paper focuses on modeling and computing of aware context information with uncertainty for making dynamic decision during seamless mobility, and combines dynamic context‐aware computing with improved Random Set Theory (RST) and extended D‐S Evidence Theory (EDS).
Abstract
Active service is one of key problems of ubiquitous computing paradigm. Context‐aware computing is helpful to carry out this service. Because the context is changing with the movement or shift of the user, its uncertainty often exists. Context‐aware computing with uncertainty includes obtaining context information, forming model, fusing of aware context and managing context information. In this paper, we focus on modeling and computing of aware context information with uncertainty for making dynamic decision during seamless mobility. Our insight is to combine dynamic context‐aware computing with improved Random Set Theory (RST) and extended D‐S Evidence Theory (EDS). We re‐examine formalism of random set, argue the limitations of the direct numerical approaches, give new modeling mode based on RST for aware context and propose our computing approach of modeled aware context.In addition, we extend classic D‐S Evidence Theory after considering context’s reliability, time‐efficiency and relativity, compare r...
Citation format
ZHANG, Degan, et al. Approach of context‐aware computing with uncertainty for ubiquitous active service. International Journal of Pervasive Computing and Communications, 2005, 1: 217–226.