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 …

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 …

System-on-Chip (SoC) is a structure in which semiconductor components are integrated into
a single die. As a result, testing time should be reduced to achieve a low cost for each chip …

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 …

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

In high-density wireless sensor networks, the quality of service in terms of sensing coverage,
connectivity, lifetime, energy consumption and cost is closely linked to the position of the …

During the development of wireless sensor networks for smart cities, deployment of nodes in
three-dimensional space is important factor as data loss in such cases will be very critical …

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

Smartphones have become an vital contraption in agribusiness when you consider that their
movability arrange with developing, the price of the tool is relatively on hand, and their …