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 …

Trust-based secure routing schemes are more effective than cryptographic routing protocols
to convey energy-efficient data in WSNs since cryptographic protocols require high …

In wireless sensor networks (WSNs), security, efficiency, and energy consumption are still
major challenges due to its open, large-scale, and resource-constrained nature. The …

The energy efficiency in wireless sensor networks (WSNs) is a significant challenge. A
clustering-based approach is an energy-saving approach in WSN. The practical clustering …

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

To overcome the problems of coverage blind areas and coverage redundancy when sensor
nodes are deployed randomly in heterogeneous wireless sensor networks (HWSNs). An …

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 …

Wireless sensor networks (WSNs) have been the recent development in network computing
and connectivity. The primary function of WSN is data extraction and transmit the collected …