AZoSensors on MSN
Low-Power Sensor Node Brings Machine Learning to the Edge of Environmental Monitoring
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
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 ...
Abstract: Wireless Sensor Networks (WSNs) are essential to smart-city infrastructures but remain vulnerable to malicious behaviour due to limited energy, decentralised control, and untrusted nodes.
A new smart platform invented by Purdue University researchers to wirelessly monitor subsoil health could change the ...
Levels change slowly in tanks that are usually geographically dispersed, making them ideal candidates for wireless sensor networks with minimal impact on control performance. Digital and wireless ...
Microchip’s inductive wireless charging reference designs makes it easier to design wireless power transfer systems for consumer devices and e-mobility.
Accurate measurement of soil NO₃⁻-N is essential for precision fertilization and stable crop yields. Real-time monitoring of ...
A wearable biosensor developed by Washington State University researchers could improve wireless glucose monitoring for people with diabetes, making it more cost-effective, accurate, and less invasive ...
Urban environments depend on complex assemblages of infrastructure assets, interconnected networks, and socio-technical ...
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