A review on UAV wireless charging: Fundamentals, applications, charging techniques and standards

PK Chittoor, B Chokkalingam, L Mihet-Popa - IEEE access, 2021 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular for applications such
as inspections, delivery, agriculture, surveillance, and many more. It is estimated that, by …

Cooperative robots to observe moving targets

A Khan, B Rinner, A Cavallaro - IEEE transactions on …, 2016 - ieeexplore.ieee.org
The deployment of multiple robots for achieving a common goal helps to improve the
performance, efficiency, and/or robustness in a variety of tasks. In particular, the observation …

Efficient and secure routing protocol based on artificial intelligence algorithms with UAV-assisted for vehicular ad hoc networks in intelligent transportation systems

H Fatemidokht, MK Rafsanjani… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Vehicular Ad hoc Networks (VANETs) that are considered as a subset of Mobile Ad hoc
Networks (MANETs) can be applied in the field of transportation especially in Intelligent …

Drone networks: Communications, coordination, and sensing

E Yanmaz, S Yahyanejad, B Rinner, H Hellwagner… - Ad Hoc Networks, 2018 - Elsevier
Small drones are being utilized in monitoring, transport, safety and disaster management,
and other domains. Envisioning that drones form autonomous networks incorporated into …

Maximum coverage capacitated facility location problem with range constrained drones

D Chauhan, A Unnikrishnan, M Figliozzi - Transportation Research Part C …, 2019 - Elsevier
Given a set of demand and potential facility locations and a set of fully available charged
drones, an agency seeks to locate a pre-specified number of capacitated facilities and …

[HTML][HTML] GREENSKY: A fair energy-aware optimization model for UAVs in next-generation wireless networks

P Thantharate, A Thantharate, A Kulkarni - Green Energy and Intelligent …, 2024 - Elsevier
Abstract Unmanned Aerial Vehicles (UAVs) offer a strategic solution to address the
increasing demand for cellular connectivity in rural, remote, and disaster-hit regions lacking …

Sample and communication-efficient decentralized actor-critic algorithms with finite-time analysis

Z Chen, Y Zhou, RR Chen… - … Conference on Machine …, 2022 - proceedings.mlr.press
Actor-critic (AC) algorithms have been widely used in decentralized multi-agent systems to
learn the optimal joint control policy. However, existing decentralized AC algorithms either …

Traffic congestion-aware graph-based vehicle rerouting framework from aerial imagery

E Bayraktar, BN Korkmaz, AU Erarslan… - … Applications of Artificial …, 2023 - Elsevier
In digital era, being stranded from very basic telecommunication protocols and internet
makes vehicle rerouting-like crucial tools more difficult or even impossible, especially in …

Drone forensics and machine learning: Sustaining the investigation process

Z Baig, MA Khan, N Mohammad, GB Brahim - Sustainability, 2022 - mdpi.com
Drones have been increasingly adopted to address several critical challenges faced by
humanity to provide support and convenience. The technological advances in the broader …

Finite-time analysis of decentralized temporal-difference learning with linear function approximation

J Sun, G Wang, GB Giannakis… - International …, 2020 - proceedings.mlr.press
Motivated by the emerging use of multi-agent reinforcement learning (MARL) in engineering
applications such as networked robotics, swarming drones, and sensor networks, we …