A Cognitive Architecture for Personal Networks

  • Yunfei Wu
  • Ignas Niemegeers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4195)


This paper proposes a three-layer cognitive architecture for pervasive and intelligent computing of personal networks. The key element of the proposed architecture is the cognitive layer, which consists of five components, namely the context cognition, the personalization cognition, the resource cognition, the network cognition, and the cognition management. In order to demonstrate the purpose of each one of the cognition component, we present a motivation example on session mobility and show that the proposed architecture enables proactive configuration and thus hides the latency of configuration. Finally, this paper identifies the research issues that need to be addressed in order to implement the cognitive architecture for personal networks.


Cognition Management Network Cognition Personal Network Personal Service Context Data 
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 2006

Authors and Affiliations

  • Yunfei Wu
    • 1
  • Ignas Niemegeers
    • 1
  1. 1.WMC group, Department of Electrical EngineeringDelft University of TechnologyDelftThe Netherlands

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