ICRA 2011 Paper Abstract


Paper ThP112.5

Gasparri, Andrea (UniversitÓ degli Studi Roma Tre), Ulivi, Giovanni (UniversitÓ di Roma Tre), Fiorini, Flavio (UniversitÓ degli Studi Roma Tre), Di Rocco, Maurizio (UniversitÓ di Roma Tre)

Distributed Data Aggregation Via Networked Transferable Belief Model Over a Graph

Scheduled for presentation during the Regular Sessions "Learning and Adaptive Systems III" (ThP112), Thursday, May 12, 2011, 14:40−14:55, Room 5H

2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai International Conference Center, Shanghai, China

This information is tentative and subject to change. Compiled on August 18, 2019

Keywords Sensor Fusion, Sensor Networks


In this work the data aggregation problem for a multi-agent system within the framework of Theory of Evidence is investigated. In the proposed scenario, 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 a set of observations which does not change over time. A protocol for distributed data aggregation for graph-like network topologies is designed. Experimental results with a sensor network have been carried out to corroborate the theoretical results and the feasibility of the proposed approach.



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