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

In this paper the data aggregation problem for a multi-agent system is investigated. In this framework, agents are assumed to be independent reliable sources which collect data and collaborate to reach a common knowledge. In particular, each agent is supposed to provide an observation which does not change over time, i.e., static 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.