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A networked transferable belief model approach for distributed data aggregation - Dynamic version

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4 Author(s)
Flavio Fiorini ; Department of Computer Science and Automation, University of “Roma Tre”, 00146 Italy ; Andrea Gasparri ; Maurizio Di Rocco ; Stefano Panzieri

This paper investigates the data aggregation problem for a multi-agent system. In this framework, agents are assumed to be independent reliable sources which collect data and collaborate to reach a common knowledge. In particular, agents are assumed to dynamically gather data over time, i.e., a dynamic scenario. A protocol for distributed data aggregation which is proved to converge to the basic belief assignment (BBA) given by a centralized aggregation based on the Transferable Belief Model (TBM) is provided.

Published in:

49th IEEE Conference on Decision and Control (CDC)

Date of Conference:

15-17 Dec. 2010