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.
Gasparri, A., Di Rocco, M., Panzieri, S. (2010). A Networked Transferable Belief Model approach for Distributed Data Aggregation - Static Version. In 49th IEEE Conference on Decision and Control, CDC10, 2010 (pp.1237-1242). IEEE Control Systems Society [10.1109/CDC.2010.5717223].
A Networked Transferable Belief Model approach for Distributed Data Aggregation - Static 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
