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Article

A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks

1
Departamento de Ingeniería de Sistemas Telemáticos, Universidad Politécnica de Madrid, 28040 Madrid, Spain
2
Department of Computer Science, City University London, London EC1V 0HB, UK
*
Author to whom correspondence should be addressed.
Current address: Avenida Complutense, 30, 28040 Madrid, Spain.
Sensors 2019, 19(15), 3408; https://doi.org/10.3390/s19153408
Received: 27 June 2019 / Revised: 30 July 2019 / Accepted: 1 August 2019 / Published: 3 August 2019
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. View Full-Text
Keywords: argumentation; Bayesian; distributed; fault diagnosis; federation; future Internet; multi-agent system argumentation; Bayesian; distributed; fault diagnosis; federation; future Internet; multi-agent system
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MDPI and ACS Style

Carrera, Á.; Alonso, E.; Iglesias, C.A. A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks. Sensors 2019, 19, 3408. https://doi.org/10.3390/s19153408

AMA Style

Carrera Á, Alonso E, Iglesias CA. A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks. Sensors. 2019; 19(15):3408. https://doi.org/10.3390/s19153408

Chicago/Turabian Style

Carrera, Álvaro, Eduardo Alonso, and Carlos A. Iglesias. 2019. "A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks" Sensors 19, no. 15: 3408. https://doi.org/10.3390/s19153408

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