Integrated Evaluation of Reliability and Power Consumption of Wireless Sensor Networks

Area of Science:

• Computer Science
• Electrical Engineering
• Network Engineering

Background:

• Power consumption is critical in Wireless Sensor Networks (WSNs).
• Existing methods often neglect reliability and application-level power usage.
• A gap exists in consolidated solutions for evaluating WSN power and reliability.

Purpose of the Study:

• To introduce a fully automated solution for designing power-aware WSN applications and communication protocols.
• To address the lack of integrated approaches for WSN power and reliability evaluation.
• To provide a comprehensive methodology and supporting toolbox for WSN power management.

Main Methods:

• Integration of formal models for power consumption evaluation.
• Development of a set of power consumption and reliability models.
• Implementation of a sensitivity analysis strategy for WSN configuration selection.
• Utilization of the EDEN toolbox to support the proposed methodology.

Main Results:

• Accurate estimation of power consumption for WSN applications.
• Accurate estimation of power consumption for the WSN network stack.
• Automated evaluation of power consumption and reliability.

Conclusions:

• The presented methodology and EDEN toolbox offer a consolidated and automated solution for WSN power consumption evaluation.
• This approach enables the design of more energy-efficient and reliable WSNs.
• The solution accurately estimates power usage considering both network stack and application layers.