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 …

Mobile edge computing (MEC) and device-to-device (D2D) offloading are two promising
paradigms in the industrial Internet of Things (IIoT). In this article, we investigate task co …

Mobile network customers today prefer video news updates than text. However, the
conventional cellular base stations may have challenges in simultaneously managing video …

Abstract In the Industrial Internet of Things (IIoT), there exist numerous sensor devices with
weak computing power and small energy storage. To meet the real-time and big data …

In enterprise management systems (EMS), augmented Intelligence of Things (AIoT) devices
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …

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

Massive map data transmission and the strict demand for the privacy of high-precision maps
have brought significant challenges to the cache of high-precision maps in intelligent …

To support multi-source data stream generated from Internet of Things devices, edge
computing emerges as a promising computing pattern with low latency and high bandwidth …

Abstract The phrase" Machine-to-Machine"(M2M) communication has gained widespread
usage owing to the growing understanding of the Internet of Things. In the upcoming years, it …

Cloud computing plays an important role in every IT sector. Many tech giants such as
Google, Microsoft, and Facebook as deploying their data centres around the world to …