Distributed Data Aggregation via Networked Transferable Belief Model over a Graph
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.
Flavio Fiorini Andrea Gasparri Maurizio Di Rocco Giovanni Ulivi
Department of Computer Science and Automation,University of Roma Tre,Roma,00146 Italy
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
5730-5736
2011-05-09(万方平台首次上网日期,不代表论文的发表时间)