A Comprehensive Dependability Model for QoM-Aware Industrial WSN When Performing Visual Area Coverage in Occluded...

Area of Science:

• Computer Science
• Electrical Engineering
• Industrial Engineering

Background:

• Dependability evaluation is crucial for industrial monitoring and control systems.
• Wireless sensor networks (WSNs) are increasingly used in industrial plants for real-time data.
• Visual coverage failures in camera-equipped WSNs can significantly impact system dependability.

Purpose of the Study:

• To propose a comprehensive mathematical model for dependability evaluation in industrial WSNs.
• To integrate Quality of Monitoring (QoM) with availability, reliability, and effective coverage.
• To provide a framework for assessing and enhancing WSN dependability in industrial settings.

Main Methods:

• Developed a comprehensive mathematical model for dependability evaluation.
• Incorporated Quality of Monitoring (QoM) as a central concept.
• Combined availability, reliability, and effective coverage parameters.

Main Results:

• The proposed model offers a unified approach to dependability assessment.
• Simulation results demonstrate the model's applicability in industrial WSNs.
• The model helps identify and mitigate potential failure impacts.

Conclusions:

• The developed mathematical model enhances dependability evaluation for industrial WSNs.
• Integrating QoM with other parameters provides a more holistic view of system performance.
• The model supports informed decisions for improving the reliability and safety of industrial operations.