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From Context to Context-Awareness: Model-Based User Classification for Efficient Multicasting

  • Christian Mannweiler
  • Jörg Schneider
  • Andreas Klein
  • Hans D. Schotten
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6884)

Abstract

Engineering context-aware wireless networks capable of self-configuration, 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.

Keywords

Context Information Cluster Center Multicast Tree Soft Mapping Context Management 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Christian Mannweiler
    • 1
  • Jörg Schneider
    • 1
  • Andreas Klein
    • 1
  • Hans D. Schotten
    • 1
  1. 1.Wireless Communications and Navigation Research GroupUniversity of KaiserslauternGermany

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