Exploiting structural knowledge using network description language and causal models for fault diagnosis in wireless sensor networks

Carrera Barroso, Álvaro and Iglesias Fernandez, Carlos Ángel (2015). Exploiting structural knowledge using network description language and causal models for fault diagnosis in wireless sensor networks. "Journal of Networking Technology", v. 6 (n. 4); pp. 135-147. ISSN 0974-8997.

Description

Title: Exploiting structural knowledge using network description language and causal models for fault diagnosis in wireless sensor networks
Author/s:
  • Carrera Barroso, Álvaro
  • Iglesias Fernandez, Carlos Ángel
Item Type: Article
Título de Revista/Publicación: Journal of Networking Technology
Date: December 2015
ISSN: 0974-8997
Volume: 6
Subjects:
Freetext Keywords: Wireless Sensor Networks, Fault Diagnosis, Agent Technology
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Fault Diagnosis is an essential management task for any telecommunication network and it is even more crucial for Wireless Sensor Networks due to their dynamic nature. Based on Agent Technology, this paper presents an architecture that combines different network and diagnosis models to carry out a Fault Diagnosis process: a Causal Model to relate fault root causes with their symptoms and a Structural Model to define the network and its properties. The behaviour of the proposed agent is driven by an Expertise Model which handles the different phases, tasks and problems which can be found in any diagnosis process. The proposed approach has been evaluated in a simulated environment with emulated MICAz devices for a motion detection application.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2012-32457CALISTAMinisterio de Economía y CompetitividadUnspecified
Madrid Regional GovernmentP2013/ICE-3019MOSI-AGIL-CMUnspecifiedUnspecified

More information

Item ID: 46045
DC Identifier: http://oa.upm.es/46045/
OAI Identifier: oai:oa.upm.es:46045
Official URL: http://www.dline.info/jnt/fulltext/v6n4/v6n4_1.pdf
Deposited by: Memoria Investigacion
Deposited on: 10 Jul 2017 17:59
Last Modified: 10 Jul 2017 17:59
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