Distributed drone base station positioning for emergency cellular networks using reinforcement learning
Due to the unpredictability of natural disasters, whenever a catastrophe happens, it is vital
that not only emergency rescue teams are prepared, but also that there is a functional …
that not only emergency rescue teams are prepared, but also that there is a functional …
[HTML][HTML] Multi-drone edge intelligence and SAR smart wearable devices for emergency communication
SH Alsamhi, FA Almalki, H Al-Dois… - … and Mobile Computing, 2021 - hindawi.com
Disasters, either manmade or natural, call for rapid and timely actions. Due to disaster, all of
the communication infrastructures are destroyed, and there is no way for connection …
the communication infrastructures are destroyed, and there is no way for connection …
A novel approach for drones positioning in mission critical applications
F Al‐Turjman - Transactions on Emerging Telecommunications …, 2022 - Wiley Online Library
Recently, the flying sensor systems have been given a careful interest to provide critical
administrations and services in a fiasco territory. Since severe debacles require the trading …
administrations and services in a fiasco territory. Since severe debacles require the trading …
Multicriteria UAV base stations placement for disaster management
In disaster situations, collapse of local communication infrastructure is a major issue due to
destruction of buildings, antennas, power sources, and to name a few. Drones, as flying …
destruction of buildings, antennas, power sources, and to name a few. Drones, as flying …
Designing UAV-aided emergency networks for large-scale disaster scenarios
Today's wireless communication networks are very reliable. However, in case of a disaster,
these networks can be overwhelmed by a tremendous amount of requests which they can …
these networks can be overwhelmed by a tremendous amount of requests which they can …
Distributed multi-agent meta learning for trajectory design in wireless drone networks
In this paper, the problem of the trajectory design for a group of energy-constrained drones
operating in dynamic wireless network environments is studied. In the considered model, a …
operating in dynamic wireless network environments is studied. In the considered model, a …
UAV aided search and rescue operation using reinforcement learning
S Kulkarni, V Chaphekar, MMU Chowdhury… - 2020 …, 2020 - ieeexplore.ieee.org
Owing to the enhanced flexibility in deployment and decreasing costs of manufacturing, the
demand for unmanned aerial vehicles (UAVs) is expected to soar in the upcoming years. In …
demand for unmanned aerial vehicles (UAVs) is expected to soar in the upcoming years. In …
UAV path planning optimization strategy: Considerations of urban morphology, microclimate, and energy efficiency using Q-learning algorithm
The use of unmanned aerial vehicles (UAVS) has been suggested as a potential
communications alternative due to their fast implantation, which makes this resource an …
communications alternative due to their fast implantation, which makes this resource an …
On the positioning likelihood of UAVs in 5G networks
An increment in the number of User Equipment (UE) demands network replanning or
introducing incipient devices which can provide dynamic support to the subsisting networks …
introducing incipient devices which can provide dynamic support to the subsisting networks …
Deep reinforcement learning for drone navigation using sensor data
Mobile robots such as unmanned aerial vehicles (drones) can be used for surveillance,
monitoring and data collection in buildings, infrastructure and environments. The importance …
monitoring and data collection in buildings, infrastructure and environments. The importance …