On Convergence of Dynamic Cluster Formation in Multi-agent Networks

Efficient hierarchical architectures for reconfigurable and adaptive multi-agent networks require dynamic cluster formation among the set of nodes (agents). In the absence of centralised controllers, this process can be described as self-organisation of dynamic hierarchies, with multiple cluster-heads emerging as a result of inter-agent communications. Decentralised clustering algorithms deployed in multi-agent networks are hard to evaluate precisely for the reason of the diminished predictability brought about by self-organisation. In particular, it is hard to predict when the cluster formation will converge to a stable configuration. This paper proposes and experimentally evaluates a predictor for the convergence time of cluster formation, based on a regularity of the interagent communication space as the underlying parameter. The results indicate that the generalised “correlation entropy”  £ (a lower bound of Kolmogorov-Sinai entropy) of the volume of the inter-agent commun...

• Type: Conference
• Year: 2005
• Where: ECAL
• Authors: Mikhail Prokopenko, Piraveenan Mahendra rajah, Peter Wang
• Keywords: Cluster Formation, Dynamic Cluster Formation, ECAL 2005, Multi-agent Networks