Wireless sensor networks are evolving with AI and advanced protocols, enabling autonomous data collection and real-time ...

Collaborative beamforming represents a pivotal advancement for Wireless Sensor Networks (WSNs), offering an affordable and power-efficient means of extending communication range through the concerted ...

Fraunhofer researchers have developed a system that uses sensors and AI to monitor a driver's cognitive load. In the future, ...

A team of researchers from UMass Lowell and Northeastern University is creating and testing a low-cost, automated wireless sensor network that could detect SARS-CoV-2, the virus that causes COVID-19, ...

The quality of air where you live can seriously impact your quality of life; persistent air pollution is proven to have major effect on long term health, causing everything from respiratory problems ...

Researchers designed an IoT network using sound and motion sensors that estimates public space utilization. The ideas can be applied to other IoT sensor networks. Sensor Fusion for Public Space ...

Wireless Sensor Networks (WSNs) are a valuable technology to support countless applications in different areas. Given the WSN nodes resource constrained characteristics, designing energy-aware ...

In this paper, the authors provide a study of how to design and implement Wireless Sensor Network (WSN) in NS2 (Network Simulator version 2). A Wireless Sensor Network (WSN) consists of a number of ...

As environmental expectations evolve, facilities are rethinking how they monitor emissions and manage risk. This webinar explores how modern Leak Detection Sensor Networks (LDSNs) are being integrated ...

Defense company Anduril Industries has introduced Seabed Sentry, a mobile sensor network for monitoring military and commercial deep-sea activity amid tensions with Russia and China. Separately, the ...

(Nanowerk News) Reporting in Advanced Functional Materials ("Deep Learning Assisted Body Area Triboelectric Hydrogel Sensor Network for Infant Care"), researchers have developed a deep learning ...