Standard machine-learning approaches involve the centralization of training data in a data
center, where centralized machine-learning algorithms can be applied for data analysis and …

As one of emerging technologies, Internet of Things (IoT) has become popular. This article
reviews the literature regarding resource allocation (RA) of the Internet of Things …

Non-orthogonal multiple access (NOMA) has been widely recognized as a promising way to
scale up the number of users, enhance the spectral efficiency, and improve the user-fairness …

The shortage of spectrum resources has limited the development of Internet of Things (IoT).
Fifth generation (5G) network can flexibly support a variety of devices and services, which …

Cognitive radio (CR)-based Internet of Things (IoT) system is an effective step toward a
world of smart technology. Many frameworks have been proposed to build CR-based IoT …

The Internet of Things (IoT) has important applications in our daily lives, including health and
fitness tracking, environmental monitoring, and transportation. However, sensor nodes in IoT …

Recent years have seen a surge in curiosity in machine‐to‐machine (M2M) collaborations
between academics and industry. Machine‐to‐machine communication devices (MTCDs) …

The inevitable next era of smart living requires unprecedented advances in enabling
technologies. The building blocks of this era are devices such as sensors, actuators, and …

Energy harvesting (EH) is a promising technique to fulfill the long-term and self-sustainable
operations for Internet of Things (IoT) systems. In this paper, we study the joint access …

Extending the sensor life time is one of the most important issues in widespread use of
Wireless Sensor Networks (WSNs). The Energy Harvesting (EH) sensors have been …