In this paper, we present an experimental study of its properties. This algorithm is self-stabilizing and runs on unreliable message passing networks. It ...
Experiments with Self-Stabilizing ... Data. Operators. Example. Distributed data fusion. Motivation. Algorithm. Discounting. Complexity. Locality. Self-stab.
In information fusion applications, it is mainly used in a centralized way, by gathering the data on a single node before computation. In this paper, a ...
A distributed algorithm is proposed to compute the neighborhood confidence of each node, by combining all the data of its neighbors using an adaptation of ...
In this paper, we present an experimental study of its properties. This algorithm is self-stabilizing and runs on unreliable message passing networks. It ...
Ducourthial and others published Experiments with Self-Stabilizing Distributed Data Fusion | Find, read and cite all the research you need on ResearchGate.
May 27, 2016 · Abstract. The Theory of Belief Functions is a formal framework for reasoning with uncertainty that is well suited for representing ...
From data to decision. Data collection : COL. Road experiment replay using the Airplug Software Distribution. Click on the image for loading the video (in the ...
In this paper, we deal with the problem of distributed data fusion in unsafe large-scale sensor networks. Data fusion application is the phase of processing ...
Self-Stabilizing Distributed Data Fusion by Bertrand Ducourthial, Véronique Cherfaoui, Thierry Denoeux published in Lecture Notes in Computer Science.
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