On Decentralised Clustering in self-monitoring networks

Authors:
Piraveenan Mahendra rajah;Mikhail Prokopenko;Peter Wang;Don Price
Affiliations:
University of Adelaide, Adelaide, SA, Australia;CSIRO ICT Centre, North Ryde, NSW, Australia;CSIRO ICT Centre, North Ryde, NSW, Australia;CSIRO Industrial Physics, Lindfield, NSW, Australia
Venue:
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Year:
2005

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Abstract

A Decentralised Adaptive Clustering (DAC) algorithm for multiagent networks is contrasted with a Fixed-order Centralised Adaptive Clustering algorithm (FCAC). The clustering is done on sensor readings detected within a self-monitoring impact sensing network. Simulation results show that DAC algorithm scales well with increasing network and data sizes and in some cases outperforms FCAC algorithm. While the common-sense intuition suggests that centralised algorithm is always superior, we support the simulation results with a simple counter-example.