Indian Journal of Science and Technology

Abstract

In this paper, we propose a sequential layered approach for optimized context integration. The proposed approach applies multiple fusion layers according to divided time intervals to accurately integrate contexts. Particularly, it is necessary to develop a generalized architecture for context integration that enables a decision to be made based on contextual data from large numbers of heterogeneous sensors. Thus, our approach is managed at an architectural level for dynamic changes in heterogeneous sensor environments. Also our approach is specified by the characteristics of contexts to decide high-level semantic information from different contextinputs. Furthermore, our approach can serve as a fundamental study of context awareness in large-scale applications and the convergence among heterogeneous domains.
Keywords: Context-Aware Application, Context Fusion & Reasoning, Optimized Context Integration, Sequential Layer