From context to context-awareness: model-based user classification for efficient multicasting

  • Authors:

  • Christian Mannweiler;Jörg Schneider;Andreas Klein;Hans D. Schotten

  • Affiliations:

  • University of Kaiserslautern, Germany;University of Kaiserslautern, Germany;University of Kaiserslautern, Germany;University of Kaiserslautern, Germany

  • Venue:
  • KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
  • Year:
  • 2011

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Abstract

Engineering context-aware wireless networks capable of selfconfiguration, self-optimization, and self-healing requires a broad information base as well as sophisticated reasoning models for user and network behavior as well as for environmental conditions. The rise of smartphones and smart spaces has tremendously increased the availability of context information such as location, environmental conditions (temperature, light), or terminal capabilities. Moreover, the popularity of social networks has complemented these data with profile information about individual users. This paper outlines how available information enables self-optimization in wireless networks by designing according models. The chosen application scenario, classifying and grouping users and thus facilitating group-based multicasting, demonstrates the feasibility and the effectiveness of the described approach.