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Elaboration of Cognitive Decision Making Methods in the Context of Symbiotic Networking

Authors:
Milos Rovcanin
Eli De Poorter
Opher Yaron
Ingrid Moerman
David Plets
Wout Joseph
Luc Martens

Keywords: Symbiotic cognitive networks; reasoning methods; machine learning; game theory;

Abstract:
Recently, the concept of ‘cognitive networking’ has been introduced, in which reconfigurable radio networks rely on self-awareness and artificial intelligence to optimize their network performance. These cognitive networks are able to perceive current network conditions and then plan, learn and act according to end-to-end goals. This paper elaborates on different methods (network solutions) that can be used by cognitive networks for deciding on how to optimize the performance of a large number of co-located devices with different characteristics and network requirements. To this end, a negotiation based networking methodology (‘symbiotic networking’) is used that supports efficient network cooperation between heterogeneous devices in order to optimize their network performance. In this paper, the advantages and disadvantages of different reasoning techniques that can be used during the decision making phase are discussed.

Pages: 229 to 234

Copyright: Copyright (c) IARIA, 2012

Publication date: August 19, 2012

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-207-3

Location: Rome, Italy

Dates: from August 19, 2012 to August 24, 2012