A Comprehensive Dependability Model for QoM-Aware Industrial WSN When Performing Visual Area Coverage in Occluded Scenarios
| Autor: | Daniel G. Costa, Francisco Vasques, Paulo Portugal, Thiago C. Jesus |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
media_common.quotation_subject Reliability (computer networking) Control (management) availability 02 engineering and technology lcsh:Chemical technology 01 natural sciences Biochemistry Article Analytical Chemistry dependability visual sensing 0202 electrical engineering electronic engineering information engineering Dependability Wireless Quality (business) lcsh:TP1-1185 mathematical modelling Electrical and Electronic Engineering wireless sensor networks Instrumentation media_common business.industry 020208 electrical & electronic engineering 010401 analytical chemistry Atomic and Molecular Physics and Optics 0104 chemical sciences Reliability engineering Area coverage coverage failures business Wireless sensor network |
| Zdroj: | Sensors, Vol 20, Iss 6542, p 6542 (2020) Sensors Volume 20 Issue 22 Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| Popis: | In critical industrial monitoring and control applications, dependability evaluation will be usually required. For wireless sensor networks deployed in industrial plants, dependability evaluation can provide valuable information, enabling proper preventive or contingency measures to assure their correct and safe operation. However, when employing sensor nodes equipped with cameras, visual coverage failures may have a deep impact on the perceived quality of industrial applications, besides the already expected impacts of hardware and connectivity failures. This article proposes a comprehensive mathematical model for dependability evaluation centered on the concept of Quality of Monitoring (QoM), processing availability, reliability and effective coverage parameters in a combined way. Practical evaluation issues are discussed and simulation results are presented to demonstrate how the proposed model can be applied in wireless industrial sensor networks when assessing and enhancing their dependability. |
| Databáze: | OpenAIRE |
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