Wireless Sensor Networks (WSNs) are extensively used in event monitoring and tracking, particularly in scenarios that require minimal human intervention. However, a key challenge in WSNs is the short lifespan of sensor nodes (SN), as continuous ...

Wireless Sensor Networks (WSNs) have become indispensable for monitoring and tracking events autonomously, without human intervention. However, a critical challenge in WSNs is the short lifespan of sensor nodes due to continuous sensing, leading to rapid ...

The innovative computing idea of Internet‐of‐Things (IoT) architecture has gained tremendous popularity over the last decade, resulting in an exponential increase in the connected devices and the data processed in the IoT networks. Since IoT ...

This research article proposes an efficient deep learning‐based anomaly detection system (MS‐ADS) for an IoT network, utilizing spectrogram images generated from the IoT network flows. These spectrogram images are then used to train two deep Convolutional ...