An overview of using directional antennas in wireless networks

HN Dai, KW Ng, M Li, MY Wu - International journal of …, 2013 - Wiley Online Library
Compared with omni‐directional antennas, directional antennas have many merits, such as
lower interference, better spatial reuse, longer transmission range, and improved network …

Joint design of UAV trajectory and directional antenna orientation in UAV-enabled wireless power transfer networks

X Yuan, Y Hu, A Schmeink - IEEE Journal on Selected Areas in …, 2021 - ieeexplore.ieee.org
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 …

Network for hypersonic UCAV swarms

S Luo, Z Zhang, S Wang, S Zhang, J Dai, X Bu… - Science China …, 2020 - Springer
Unmanned combat aerial vehicles (UCAVs) that swarm with both autonomous decision-
making and cooperative attacking have been regarded as revolutionary elements of modern …

Caching meets millimeter wave communications for enhanced mobility management in 5G networks

O Semiari, W Saad, M Bennis… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

On eavesdropping attacks in wireless sensor networks with directional antennas

HN Dai, Q Wang, D Li… - International Journal of …, 2013 - journals.sagepub.com
The eavesdropping attack is a serious security threat to a wireless sensor network (WSN)
since the eavesdropping attack is a prerequisite for other attacks. Conventional WSNs …

On connectivity of wireless sensor networks with directional antennas

Q Wang, HN Dai, Z Zheng, M Imran, AV Vasilakos - Sensors, 2017 - mdpi.com
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 …

Designing reconfigurable large-scale deep learning systems using stochastic computing

A Ren, Z Li, Y Wang, Q Qiu… - 2016 IEEE International …, 2016 - ieeexplore.ieee.org
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 …

Snapshot and continuous data collection in probabilistic wireless sensor networks

S Ji, R Beyah, Z Cai - IEEE Transactions on Mobile Computing, 2013 - ieeexplore.ieee.org
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 …

Capacity of hybrid wireless networks with directional antenna and delay constraint

G Zhang, Y Xu, X Wang… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
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 …

RPB-MD: Providing robust message dissemination for vehicular ad hoc networks

C Liu, C Chigan - Ad Hoc Networks, 2012 - Elsevier
To improve traffic safety and efficiency, it is vital to reliably send traffic-related messages to
vehicles in the targeted region in vehicular ad hoc networks (VANETs). In this paper, we …