INEGI/INESC-TEC-Faculty of Engineering, University of Porto (FEUP), 4200-465 Porto, Portugal.
Departmnet of Technology, State University of Feira de Santana (DTEC/UEFS), Feira de Santana 44036-900, Brazil.
Sensors (Basel). 2020 Nov 16;20(22):6542. doi: 10.3390/s20226542.
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.
在关键的工业监测和控制应用中，通常需要进行可靠性评估。对于部署在工业工厂中的无线传感器网络，可靠性评估可以提供有价值的信息，从而采取适当的预防或应急措施，确保其正确和安全运行。然而，当使用配备摄像头的传感器节点时，除了已经预期的硬件和连接故障的影响外，视觉覆盖故障可能会对工业应用的感知质量产生深远的影响。本文提出了一种基于监测质量 (QoM) 概念的可靠性评估综合数学模型，该模型以综合的方式处理可用性、可靠性和有效覆盖参数。讨论了实际评估问题，并给出了仿真结果，以演示在评估和增强无线工业传感器网络的可靠性时如何应用所提出的模型。
