Title
Distributed data aggregation via networked transferable belief model over a graph
Abstract
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.
Year
DOI
Venue
2011
10.1109/ICRA.2011.5979910
ICRA
Keywords
Field
DocType
distributed data aggregation,multi-agent systems,data fusion,multiagent system,graph like network topologies,networked transferable belief model,graph theory,sensor fusion,network topology,multiagent systems,multi agent systems,sensor network,multi agent system,common knowledge,bayesian methods,data aggregation,protocols,bayesian method,distributed databases,collaboration,vegetation,distributed database
Graph theory,Computer science,Network topology,Common knowledge,Multi-agent system,Transferable belief model,Distributed database,Wireless sensor network,Data aggregator,Distributed computing
Conference
Volume
Issue
ISSN
2011
1
1050-4729
ISBN
Citations 
PageRank 
978-1-61284-386-5
0
0.34
References 
Authors
9
4
Name
Order
Citations
PageRank
Flavio Fiorini161.19
Andrea Gasparri244741.42
Maurizio Di Rocco3947.13
Giovanni Ulivi424222.77