Abstract Artificial Intelligence (AI) realizes Wireless Sensor Networks (WSNs) as a dynamic
environment of battery-powered sensor nodes. These nodes are carefully built to monitor …

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 …

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

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 …

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 …

An industry-wide paradigm change has been sparked by the growth of Internet of Things
(IoT)-based Wireless Sensor Networks (WSNs), which has made reliable and effective …

The restricted battery of the sensors has always been a bottleneck for the WSNs. To
withstand the network life for a elongated period, the network can be partitioned into …

The network lifetime of Wireless Sensor Network (WSN) is one of the most challenging
issues for any network protocol. The nodes in the network are densely deployed and are …

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

In order to meet the growing needs for wireless communication in dynamic and diverse
circumstances, Cognitive Radio Networks (CRNs) have evolved as a transformational …