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 …

Abstract Nowadays, Wireless Sensor Network (WSN) based Internet of Things (IoT) is a
highly developed field that shows a promising area for research because they are …

Abstract In recent years, Wireless Sensor Network (WSN) became a key technology for
monitoring and tracking applications in a wide application range. Still, an energy-efficient …

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 …

Concerning the large amount of energy consumption during the cluster head selection stage
and the unequal harvested energy among nodes in energy-harvesting wireless sensor …

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 …

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

Abstract The applications of Wireless Sensor Network is increasing rapidly in almost every
domain. So, the limited node's battery life in the network should be utilized efficiently …

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 …