Next Article in Journal
TLTD: A Testing Framework for Learning-Based IoT Traffic Detection Systems
Next Article in Special Issue
Device-Based Security to Improve User Privacy in the Internet of Things
Previous Article in Journal
A Data Quality Control Method for Seafloor Observatories: The Application of Observed Time Series Data in the East China Sea
Previous Article in Special Issue
Cellular Simulation for Distributed Sensing over Complex Terrains
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(8), 2629;

Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks

INEGI/INESC-TEC—Faculty of Engineering, University of Porto (FEUP), 4200-465 Porto, Portugal
Department of Technology, State University of Feira de Santana (DTEC/UEFS), 44036-900 Feira de Santana, Brazil
Author to whom correspondence should be addressed.
Received: 9 July 2018 / Revised: 4 August 2018 / Accepted: 7 August 2018 / Published: 10 August 2018
(This article belongs to the Special Issue Dependable Monitoring in Wireless Sensor Networks)
Full-Text   |   PDF [3906 KB, uploaded 13 August 2018]   |  


Wireless sensor networks have been considered as an effective solution to a wide range of applications due to their prominent characteristics concerning information retrieving and distributed processing. When visual information can be also retrieved by sensor nodes, applications acquire a more comprehensive perception of monitored environments, fostering the creation of wireless visual sensor networks. As such networks are being more often considered for critical monitoring and control applications, usually related to catastrophic situation prevention, security enhancement and crises management, fault tolerance becomes a major expected service for visual sensor networks. A way to address this issue is to evaluate the system dependability through quantitative attributes (e.g., reliability and availability), which require a proper modeling strategy to describe the system behavior. That way, in this paper, we propose a methodology to model and evaluate the dependability of wireless visual sensor networks using Fault Tree Analysis and Markov Chains. The proposed modeling strategy considers hardware, battery, link and coverage failures, besides considering routing protocols on the network communication behavior. The methodology is automated by a framework developed and integrated with the SHARPE (Symbolic Hierarchical Automated Reliability and Performance Evaluator) tool. The achieved results show that this methodology is useful to compare different network implementations and the corresponding dependability, enabling the uncovering of potentially weak points in the network behavior. View Full-Text
Keywords: dependability evaluation; availability; reliability; wireless visual sensor networks; fault tree analysis; Markov chains dependability evaluation; availability; reliability; wireless visual sensor networks; fault tree analysis; Markov chains

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Jesus, T.C.; Portugal, P.; Vasques, F.; Costa, D.G. Automated Methodology for Dependability Evaluation of Wireless Visual Sensor Networks. Sensors 2018, 18, 2629.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top