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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Veröffentlicht in:	Nonlinear analysis. Hybrid systems Jg. 26; S. 292 - 306
Hauptverfasser:	Franceschelli, Mauro, Giua, Alessandro, Seatzu, Carla
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.11.2017 Elsevier
Schlagworte:	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-Zugang:	Volltext
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