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

  • Authors:
  • Hamed Vahdat-Nejad;Kamran Zamanifar;Nasser Nematbakhsh

  • Affiliations:
  • Faculty of Engineering, Computer Engineering Department, University of Isfahan 817467-73441, Iran;Faculty of Engineering, Computer Engineering Department, University of Isfahan 817467-73441, Iran;Faculty of Engineering, Computer Engineering Department, University of Isfahan 817467-73441, Iran

  • Venue:
  • International Journal of Ad Hoc and Ubiquitous Computing
  • Year:
  • 2013

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Abstract

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.