An efficient strategy for accurate detection and localization of UAV swarms

J Zheng, R Chen, T Yang, X Liu, H Liu… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) swarms have shown great potential for Internet of Things
(IoT). Meantime, its malicious use may cause huge threat to the national security. UAV …

Accurate detection and localization of unmanned aerial vehicle swarms-enabled mobile edge computing system

J Zheng, T Yang, H Liu, T Su… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) swarms-enabled mobile edge computing system can be
deployed in critical industrial zones for monitoring. Meanwhile, its malicious use may bring …

State-of-the-art and future research challenges in uav swarms

S Javed, A Hassan, R Ahmad, W Ahmed… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Due to their potential to accomplish complicated missions more effectively, UAV swarms
have attracted a lot of attention lately. UAV swarm offers enhanced intelligence, improved …

Optimal configuration analysis of AOA localization and optimal heading angles generation method for UAV swarms

W Wang, P Bai, Y Zhou, X Liang, Y Wang - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, the angle-of-arrival (AOA) measurements are adapted to locate a target using
the UAV swarms equipped with passive receivers. The measurement noise is considered to …

An efficient UAV localization technique based on particle swarm optimization

W Zhang, W Zhang - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have recently attracted tremendous attentions in both
industries and academic communities. Thanks to the high mobility and flexibility, UAVs can …

Swarm unmanned aerial vehicles (SUAVs): a comprehensive analysis of localization, recent aspects, and future trends

M Khelifi, I Butun - Journal of Sensors, 2022 - Wiley Online Library
Within the last decade, Swarm Unmanned Aerial Vehicles (SUAVs) are booming and
growing at a surprisingly rapid pace. From military combat, environmental surveillance, and …

Swarming algorithm for unmanned aerial vehicle (uav) quadrotors–swarm behavior for aggregation, foraging, formation, and tracking–

AA Bandala, EP Dadios, RRP Vicerra… - Journal of Advanced …, 2014 - jstage.jst.go.jp
This paper presents the fusion of swarm behavior in multi robotic system specifically the
quadrotors unmanned aerial vehicle (QUAV) operations. This study directed on using robot …

An improved sand cat swarm optimization for moving target search by UAV

Y Niu, X Yan, Y Wang, Y Niu - Expert Systems with Applications, 2024 - Elsevier
Moving target search is a challenging dynamic path planning problem. In this scenario,
unmanned aerial vehicles endeavor to locate a moving entity based on sensor information …

Distributed estimation approach for tracking a mobile target via formation of UAVs

M Doostmohammadian, A Taghieh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper considers distributed estimation methods to enable the formation of Unmanned-
Aerial-Vehicles (UAVs) that track a moving target. The UAVs (or agents) are equipped with …

3-D deployment optimization of UAVs based on particle swarm algorithm

Z Yuheng, Z Liyan, L Chunpeng - 2019 IEEE 19th International …, 2019 - ieeexplore.ieee.org
In emergencies, rapid and flexible deployment of UAV is an effective method to provide
timely and reliable communication. How to optimize the coverage performance of UAV is an …