Compared with omni‐directional antennas, directional antennas have many merits, such as
lower interference, better spatial reuse, longer transmission range, and improved network …

In this work, we investigate an unmanned aerial vehicle (UAV)-enabled wireless power
transfer (WPT) network with multiple ground sensor nodes (SNs). A UAV is operated at a …

Unmanned combat aerial vehicles (UCAVs) that swarm with both autonomous decision-
making and cooperative attacking have been regarded as revolutionary elements of modern …

One of the most promising approaches to overcoming the uncertainty of millimeter wave
(mm-wave) communications is to deploy dual-mode small base stations (SBSs) that …

Written in a unique style, this book is a valuable resource for faculty, graduate students, and
researchers in the communications and networking area whose work interfaces with …

The eavesdrop** attack is a serious security threat to a wireless sensor network (WSN)
since the eavesdrop** attack is a prerequisite for other attacks. Conventional WSNs …

Deep Learning, as an important branch of machine learning and neural network, is playing
an increasingly important role in a number of fields like computer vision, natural language …

In this paper, we investigate the network connectivity of wireless sensor networks with
directional antennas. In particular, we establish a general framework to analyze the network …

Data collection is a common operation of Wireless Sensor Networks (WSNs), of which the
performance can be measured by its achievable network capacity. Most existing works …

We study the throughput capacity of hybrid wireless networks with a directional antenna. The
hybrid wireless network consists of n randomly distributed nodes equipped with a directional …