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Carrera Barroso, Álvaro ORCID: https://orcid.org/0000-0002-0319-036X, Alonso, Eduardo and Iglesias Fernández, Carlos Ángel ORCID: https://orcid.org/0000-0002-1755-2712 (2019). A bayesian argumentation framework for distributed fault diagnosis in telecommunication networks. "Sensors", v. 19 (n. 15); pp. 1-22. ISSN 1424-8220. https://doi.org/10.3390/s19153408.
Título: | A bayesian argumentation framework for distributed fault diagnosis in telecommunication networks |
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Autor/es: |
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Tipo de Documento: | Artículo |
Título de Revista/Publicación: | Sensors |
Fecha: | Agosto 2019 |
ISSN: | 1424-8220 |
Volumen: | 19 |
Materias: | |
Palabras Clave Informales: | argumentation; Bayesian; distributed; fault diagnosis; federation; future Internet; multi-agent system |
Escuela: | E.T.S.I. Telecomunicación (UPM) |
Departamento: | Ingeniería de Sistemas Telemáticos |
Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Traditionally, fault diagnosis in telecommunication network management is carried out by humans who use software support systems. The phenomenal growth in telecommunication networks has nonetheless triggered the interest in more autonomous approaches, capable of coping with emergent challenges such as the need to diagnose faults' root causes under uncertainty in geographically-distributed environments, with restrictions on data privacy. In this paper, we present a framework for distributed fault diagnosis under uncertainty based on an argumentative framework for multi-agent systems. In our approach, agents collaborate to reach conclusions by arguing in unpredictable scenarios. The observations collected from the network are used to infer possible fault root causes using Bayesian networks as causal models for the diagnosis process. Hypotheses about those fault root causes are discussed by agents in an argumentative dialogue to achieve a reliable conclusion. During that dialogue, agents handle the uncertainty of the diagnosis process, taking care of keeping data privacy among them. The proposed approach is compared against existing alternatives using benchmark multi-domain datasets. Moreover, we include data collected from a previous fault diagnosis system running in a telecommunication network for one and a half years. Results show that the proposed approach is suitable for the motivational scenario.
ID de Registro: | 67507 |
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Identificador DC: | https://oa.upm.es/67507/ |
Identificador OAI: | oai:oa.upm.es:67507 |
Identificador DOI: | 10.3390/s19153408 |
URL Oficial: | https://www.mdpi.com/1424-8220/19/15/3408 |
Depositado por: | Memoria Investigacion |
Depositado el: | 04 Sep 2021 09:32 |
Ultima Modificación: | 04 Sep 2021 09:32 |