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.

Fiorini, F., Gasparri, A., Di Rocco, M., Panzieri, S. (2010). A networked transferable belief model approach for distributed data aggregation - Dynamic version. In 49th IEEE Conference on Decision and Control (CDC), 2010 (pp.1237-1242) [10.1109/CDC.2010.5717224].

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

GASPARRI, ANDREA;PANZIERI, Stefano
2010-01-01

Abstract

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.
2010
978-1-4244-7745-6
Fiorini, F., Gasparri, A., Di Rocco, M., Panzieri, S. (2010). A networked transferable belief model approach for distributed data aggregation - Dynamic version. In 49th IEEE Conference on Decision and Control (CDC), 2010 (pp.1237-1242) [10.1109/CDC.2010.5717224].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/177911
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