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 Fiorini | 1 | 6 | 1.19 |
Andrea Gasparri | 2 | 447 | 41.42 |
Maurizio Di Rocco | 3 | 94 | 7.13 |
Giovanni Ulivi | 4 | 242 | 22.77 |