Multi-UAV collaborative absolute vision positioning and navigation: a survey and discussion
P Tong, X Yang, Y Yang, W Liu, P Wu - Drones, 2023 - mdpi.com
The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …
Complementarity, interoperability, and level of integration of humanitarian drones with emerging digital technologies: A state-of-the-art systematic literature review of …
The adoption of drones and other emerging digital technologies (DTs) has proven essential
in revolutionizing humanitarian logistics as standalone solutions. However, the …
in revolutionizing humanitarian logistics as standalone solutions. However, the …
Enhanced probabilistic route stability (EPRS) protocol for healthcare applications of WBAN
Wireless Body Area Network (WBAN) is among the most promising technologies for
enhancing life quality. WBANs enable constant monitoring of physiological processes by …
enhancing life quality. WBANs enable constant monitoring of physiological processes by …
Reinforcement learning-based multidimensional perception and energy awareness optimized link state routing for flying ad-hoc networks
M Prakash, S Neelakandan, BH Kim - Mobile Networks and Applications, 2023 - Springer
One of the uncrewed aerial vehicles (UAV) in a Flying Ad-hoc network (FANET) can link
directly to the infrastructure. At the same time, the other UAVs in the system may have a multi …
directly to the infrastructure. At the same time, the other UAVs in the system may have a multi …
Energy-efficient UAV-wireless networks for data collection
K Bani-Hani, KF Hayajneh, A Jaradat… - Physical …, 2023 - Elsevier
In this study, a singular unmanned aerial vehicle (UAV) is utilized to gather data from a set of
ground sensors in wireless networks. The main objective is to minimize the total energy …
ground sensors in wireless networks. The main objective is to minimize the total energy …
JO-TADP: learning-based cooperative dynamic resource allocation for MEC–UAV-enabled wireless network
Providing robust communication services to mobile users (MUs) is a challenging task due to
the dynamicity of MUs. Unmanned aerial vehicles (UAVs) and mobile edge computing …
the dynamicity of MUs. Unmanned aerial vehicles (UAVs) and mobile edge computing …
Ability-restricted indoor reconnaissance task planning for multiple UAVs
R Zhang, L Dou, Q Wang, B Xin, Y Ding - Electronics, 2022 - mdpi.com
For indoor multi-task planning problems of small unmanned aerial vehicles (UAVs) with
different abilities, task assignment and path planning play a crucial role. The multi …
different abilities, task assignment and path planning play a crucial role. The multi …
Deep-reinforcement-learning-based intelligent routing strategy for FANETs
D Lin, T Peng, P Zuo, W Wang - Symmetry, 2022 - mdpi.com
Flying ad hoc networks (FANETs), which are composed of autonomous flying vehicles,
constitute an important supplement to satellite networks and terrestrial networks, and they …
constitute an important supplement to satellite networks and terrestrial networks, and they …
UAVs for Disaster Management-An Exploratory Review
The following research article constitutes a comprehensive review of state-of-the-art
methodologies and problems addressed by current academic literature in the field of …
methodologies and problems addressed by current academic literature in the field of …
Lyapunov optimization-based online positioning in UAV-assisted emergency communications
In disasters, unmanned aerial vehicles (UAVs) can be used as aerial base stations (BSs)
when terrestrial BSs are unavailable. Although most studies have focused on optimal UAV …
when terrestrial BSs are unavailable. Although most studies have focused on optimal UAV …