Unified Multi-Abstraction-Level Functional Testing and Performance Measurements for Industrial IoT in Spatially...

Area of Science:

• Wireless Communication Engineering
• Network Testing and Performance Analysis
• Internet of Things (IoT) Infrastructure

Background:

• Narrow Band-Wireless Wide Area Networking (NB-WWAN) offers reliable, long-range connectivity with low power consumption, driving its adoption in diverse applications.
• Existing NB-WWAN testing faces challenges at device (resource limits, protocols) and network (topology, signal propagation) levels.
• Consistent, systematic performance evaluation across development phases is crucial for NB-WWAN systems.

Purpose of the Study:

• To propose a unified multi-abstraction-level testing methodology for NB-WWAN technologies.
• To address the complexities in functional testing and performance assessment of NB-WWAN systems.
• To enable systematic and consistent evaluation of NB-WWAN performance across different development stages.

Main Methods:

• Development of a unified testing methodology applicable across multiple abstraction levels.
• Implementation of a prototype system for evaluating the proposed methodology.
• Testing across network simulators, emulated lab testbeds, and real-world field test environments.

Main Results:

• The proposed methodology provides a systematic approach to overcome NB-WWAN testing challenges.
• Comprehensive evaluation of NB-WWAN technologies is achieved through multi-abstraction-level testing.
• The prototype implementation demonstrates the feasibility and effectiveness of the unified testing approach.

Conclusions:

• A unified multi-abstraction-level testing methodology is essential for robust NB-WWAN evaluation.
• The developed approach facilitates seamless testing and consistent performance comparison.
• This methodology supports the reliable deployment and optimization of NB-WWAN technologies.