A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

Abstract: The large-scale applications of wireless sensor networks (WSNs) place higher demands on their reliability. WSNs deployed in the intelligent tunnel are often affected by environmental ...

Abstract: This paper introduces CHARM, a channel-aware simulator designed to evaluate adaptive routing and interference management in Wireless Sensor Networks (WSNs). The simulator supports ...

Levels change slowly in tanks that are usually geographically dispersed, making them ideal candidates for wireless sensor ...

Keysight Technologies, Inc. (NYSE: KEYS) today announced the release of its new Wireless Coexistence Test Solution, an automated, and standards-aligned platform designed to help engineers quickly and ...

If you’re faced with this issue, you can try our recommended solutions below in no particular order and see if that helps to resolve the issue. Let’s take a look at the description of the process ...

Urban environments depend on complex assemblages of infrastructure assets, interconnected networks, and socio-technical ...

Why rely on public hotspots when you can bring a personal Wi-Fi network with you wherever you go? These are the top mobile hotspots we've tested for each major US carrier. I’m one of PCMag’s mobile ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

🎯 Demonstrates: Real-Time Audio Processing • Wireless Protocols • State Machine Design • Multi-Threading • Low-Latency Systems ...

├─ src/ # MATLAB source code (channel, DBPSK, OFDM, PN, etc.) ├─ test/ # Validation and smoke tests ├─ docs/ │ ├─ assets/ # Figures, plots, channel visualizations │ └─ specs/ # Original handout / ...