Gossip based asynchronous and randomized distributed task assignment with guaranteed performance on heterogeneous networks

The main contribution of this paper is a novel distributed algorithm based on asynchronous and randomized local interactions, i.e., gossip based, for task assignment on heterogeneous networks. We consider a set of tasks with heterogeneous cost to be assigned to a set of nodes with heterogeneous exec...

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Bibliographic Details

Published in:	Nonlinear analysis. Hybrid systems Vol. 26; pp. 292 - 306
Main Authors:	Franceschelli, Mauro, Giua, Alessandro, Seatzu, Carla
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.11.2017 Elsevier
Subjects:	Distributed optimization Distributed task assignment Engineering Sciences Gossip algorithms Multi-agent systems Quantized consensus Distributed optimization Quantized consensus Gossip algorithms Distributed task assignment Multi-agent systems
ISSN:	1751-570X
Online Access:	Get full text
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