A new community-based context distribution approach for large-scale pervasive systems

In large-scale pervasive computing environments, a huge amount of context is continuously created by context sources and as required by context consumers. Scalability is a challenge for managing and distributing this amount of data. In this research, a new scheme for context distribution is proposed which is based on forming context consumer communities to improve scalability. The main feature of members of a community is pursuing the same context types. After constituting the consumer communities, the context-distribution system makes use of a push-based approach for distributing context information among interested entities. Experimental results show the efficiency of the proposed scheme in large-scale environments.