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The Impact of Rate Adaptation Algorithms on Wi-Fi-Based Factory Automation Systems
Tommaso Fedullo1, Federico Tramarin2, Stefano Vitturi3
1Department of Management and Engineering, University of Padova, S. S. Nicola 3, 36100 Vicenza, Italy.
Sensors (Basel, Switzerland)
|September 16, 2020
Summary
Rate adaptation algorithms enhance Wi-Fi in factory automation by improving timeliness and reliability. Their computational complexity is investigated, showing they can be adopted without impacting overall performance.
Area of Science:
- Industrial Automation
- Wireless Communication Systems
- Real-Time Systems
Background:
- Factory automation systems utilize IEEE 802.11 Wi-Fi with Multi-Rate Support (MRS).
- MRS dynamically selects transmission rates, improving communication timeliness and reliability for industrial real-time systems.
- Rate Adaptation Algorithms (RAAs) implement MRS but their computational complexity is not well-studied.
Purpose of the Study:
- Investigate the computational complexity of specific RAAs.
- Analyze the execution times of RAAs.
- Evaluate the impact of RAAs on industrial automation tasks and system performance.
Main Methods:
- Formal description of selected rate adaptation algorithms.
- Extensive experimental session including practical measurements.
- Realistic simulations to assess RAA performance in industrial contexts.
Main Results:
- Measured execution times of RAAs were analyzed.
- RAAs were found to be suitable for industrial automation systems.
- Adoption of RAAs improves reliability and timeliness without negative performance impact.
Conclusions:
- Rate adaptation algorithms are computationally feasible for factory automation.
- RAAs offer a viable solution for enhancing industrial real-time communication.
- The study validates the benefits of RAAs for improving automation system performance.
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