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Decentralized Decision-Making Over Multi-Task Networks

Khawatmi, S. ; Zoubir, A. M. ; Sayed, A. H. (2019)
Decentralized Decision-Making Over Multi-Task Networks.
In: Signal Processing, 160
doi: 10.1016/j.sigpro.2019.01.029
Artikel, Bibliographie

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Kurzbeschreibung (Abstract)

In important applications involving multi-task networks with multiple objectives, agents in the network need to decide between these multiple objectives and reach an agreement about which single objective to follow for the network. In this work we propose a distributed decision-making algorithm. The agents are assumed to observe data that may be generated by different models. Through localized interactions, the agents reach agreement about which model to track and interact with each other in order to enhance the network performance. We investigate the approach for both static and mobile networks. The simulations illustrate the performance of the proposed strategies.

Typ des Eintrags: Artikel
Erschienen: 2019
Autor(en): Khawatmi, S. ; Zoubir, A. M. ; Sayed, A. H.
Art des Eintrags: Bibliographie
Titel: Decentralized Decision-Making Over Multi-Task Networks
Sprache: Englisch
Publikationsjahr: Juli 2019
Verlag: Elsevier
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Signal Processing
Jahrgang/Volume einer Zeitschrift: 160
DOI: 10.1016/j.sigpro.2019.01.029
URL / URN: https://www.sciencedirect.com/science/article/pii/S016516841...
Kurzbeschreibung (Abstract):

In important applications involving multi-task networks with multiple objectives, agents in the network need to decide between these multiple objectives and reach an agreement about which single objective to follow for the network. In this work we propose a distributed decision-making algorithm. The agents are assumed to observe data that may be generated by different models. Through localized interactions, the agents reach agreement about which model to track and interact with each other in order to enhance the network performance. We investigate the approach for both static and mobile networks. The simulations illustrate the performance of the proposed strategies.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Signalverarbeitung
Hinterlegungsdatum: 06 Sep 2019 06:16
Letzte Änderung: 10 Jun 2024 10:23
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