Machine learning (ML) technology has shown its unique advantages in many fields and has
excellent performance in many applications, such as image recognition, speech recognition …

ABSTRACT The Internet of Things (IoT) is a promising technology inspiring industries and
the public alike with its broad spectrum of applications adding intelligence to real-life …

Since the development of Wireless Sensor Networks (WSNs), the limited battery of the
sensor nodes has been an unavoidable concern. Hence, to keep the WSNs operational for a …

Abstract In the Energy-Harvesting Wireless Body Area Networks (EH-WBAN), one of the
fundamental challenges is preserving the self-sustainability of sensors without …

Because of the metaphysical shift in the technological era, the world is witnessing machine
to machine (M2M) communication. Sensors are omnipresent, owing to which wireless …

Wireless sensor networks are applied in different domains such as agriculture, military,
healthcare, and defense. The most critical issue in wireless sensor networks is achieving …

Wireless sensor networks (WSNs) are now frequently used to collect all necessary sensory
data for decision-making. As a result, it is common for the sensor and sink nodes to …

Aiming at the problems of node redundancy and network cost increase in heterogeneous
wireless sensor networks, this article proposes an improved whale optimization algorithm …

In wireless rechargeable sensor networks (WRSNs), a novel approach to energy
replenishment is offered by the utilization of mobile chargers (MCs), which charge nodes via …

Recent advances in wireless technologies have led to an increased deployment of Wireless
Sensor Networks (WSNs) for a plethora of diverse surveillance applications such as health …