The sensors employed in the wireless sensor network are battery-powered which are
prepared with a limited energy supply. Most of the applications in the field of wireless sensor …

This paper explores the transformative integration of deep learning applications in the
deployment of Wireless Sensor Networks (WSNs). As WSNs continue to play a pivotal role in …

The nodes in the wireless sensor network are furnished with restricted and irreplaceable
battery power. The continuous sensing, computation, and communication drain out the …

Wireless sensor networks (WSNs) have turned into a leading area of research over the
course of the last few decades as they have been employed in various application domains …

Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …

Internet of Things (IoT)-enabled wireless sensor network (WSN) permits the development of
various IoT-based applications, ranging from industry to education and military to …

The rapid development of the agricultural Internet of Things (IoT) is inseparable from the
support of wireless sensor networks (WSNs) in recent years. To further facilitate the …

Wireless sensor networks (WSN) comprise a large number of connected tiny or small sensor
devices to sense physical phenomenon. In WSN, prolonging the network's lifetime is a …

Energy awareness is a key concern of recent advances in the Internet of Things (IoT)
enabled wireless sensor networks (WSNs), and many optimization approaches to reduce …

Energy management is considered as a challenging task for applications related to the
wireless sensor network. The cluster-based networks are among the most effective solutions …