Title
A multi-criteria master nodes selection mechanism for knowledge dissemination in autonomic networks
Abstract
Autonomic Networks represent a concept inspired by the biological world that aims at making a network independent of any human monitoring. To reach such autonomy, knowledge should be disseminated over the network, which remains an open problem. In fact, disseminating the knowledge over all nodes leads to a big overhead. That is why we need to select a subset of nodes in charge of knowledge management. A single criterion-based selection mechanism has been proposed in a previous work but such a mechanism seems to be very simplistic. In this paper, we present a new multi-criteria selection mechanism based on Pareto. The simulation results show that the proposed approach significantly improves performances compared to single criterion-based selection mechanism.
Year
DOI
Venue
2012
10.1109/ICC.2012.6364419
ICC
Keywords
Field
DocType
autonomic networks,knowledge dissemination,pareto law,multicriteria master node selection mechanism,knowledge management,biological world,pareto analysis,information dissemination,computer networks,pareto dominance,knowledge plane,human monitoring,simulation,knowledge engineering,clustering algorithms,network topology
Open problem,Computer science,Autonomy,Dissemination,Artificial intelligence,Knowledge dissemination,Pareto analysis,Information Dissemination,Human monitoring,Pareto principle
Conference
ISSN
ISBN
Citations 
1550-3607 E-ISBN : 978-1-4577-2051-2
978-1-4577-2051-2
3
PageRank 
References 
Authors
0.47
5
3
Name
Order
Citations
PageRank
Sami Souihi1529.99
Said Hoceini210613.84
Abdelhamid Mellouk367975.86