A cognitive architecture for personal networks

Authors:
Yunfei Wu;Ignas Niemegeers
Affiliations:
WMC group, Department of Electrical Engineering, Delft University of Technology, Delft, The Netherlands;WMC group, Department of Electrical Engineering, Delft University of Technology, Delft, The Netherlands
Venue:
AN'06 Proceedings of the First IFIP TC6 international conference on Autonomic Networking
Year:
2006

Citing 8
Cited 0

Unified theories of cognition

Unified theories of cognition
The Vision of Autonomic Computing

Computer
Towards a Better Understanding of Context and Context-Awareness

HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach
A knowledge plane for the internet

Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications
Research Issues in Ad-Hoc Distributed Personal Networking

Wireless Personal Communications: An International Journal
Privacy and Anonymity in Personal Networks

PERCOMW '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications Workshops
Context-aware communication

IEEE Wireless Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.