UAV assistance paradigm: State-of-the-art in applications and challenges
Abstract Unmanned Aerial Vehicles (UAVs) are an emerging technology with the potential to
be used in industries and various sectors of human life to provide a wide range of …
be used in industries and various sectors of human life to provide a wide range of …
Unmanned aerial vehicle communications for civil applications: A review
The use of drones, formally known as unmanned aerial vehicles (UAVs), has significantly
increased across a variety of applications over the past few years. This is due to the rapid …
increased across a variety of applications over the past few years. This is due to the rapid …
Multi-UAV-enabled mobile-edge computing for time-constrained IoT applications
Unmanned-aerial-vehicle (UAV)-enabled mobile-edge computing (MEC) has emerged as a
promising paradigm to extend the coverage of computation service for Internet of Things …
promising paradigm to extend the coverage of computation service for Internet of Things …
Q-FANET: Improved Q-learning based routing protocol for FANETs
Abstract Flying Ad-Hoc Networks (FANETs) introduce ad-hoc networking into the context of
flying nodes, allowing real-time communication between these nodes and ground control …
flying nodes, allowing real-time communication between these nodes and ground control …
A survey of collaborative UAV–WSN systems for efficient monitoring
Integrated systems based on wireless sensor networks (WSNs) and unmanned aerial
vehicles (UAVs) with electric propulsion are emerging as state-of-the-art solutions for large …
vehicles (UAVs) with electric propulsion are emerging as state-of-the-art solutions for large …
Uav-assisted data collection in wireless sensor networks: A comprehensive survey
Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense
phenomena, process sensed data, and take actions accordingly. The networks are …
phenomena, process sensed data, and take actions accordingly. The networks are …
DRLR: A deep-reinforcement-learning-based recruitment scheme for massive data collections in 6G-based IoT networks
T Li, W Liu, Z Zeng, NN **ong - IEEE Internet of Things journal, 2021 - ieeexplore.ieee.org
Recently, rapid deployment on the fifth-generation (5G) networks has brought great
opportunities for enabling data-intensive applications and brings an extending expectation …
opportunities for enabling data-intensive applications and brings an extending expectation …
Advancements in Machine Learning and AI for Intelligent Systems in Drone Applications for Smart City Developments
S Boopathi - Futuristic e-Governance Security With Deep Learning …, 2024 - igi-global.com
The chapter explores the integration of drones, machine learning, and artificial intelligence
(AI) in smart city development. Drones can revolutionize urban planning, energy efficiency …
(AI) in smart city development. Drones can revolutionize urban planning, energy efficiency …
Multi-objective NSGA-II optimization framework for UAV path planning in an UAV-assisted WSN
MK Singh, A Choudhary, S Gulia, A Verma - The Journal of …, 2023 - Springer
The recent technological advancements such as IoT-enabled sensor nodes, Global
Positioning System, Wi-Fi transceivers, and lightweight lithium-ion batteries enable the use …
Positioning System, Wi-Fi transceivers, and lightweight lithium-ion batteries enable the use …
Routing protocols for UAV-aided wireless sensor networks
Recently, unmanned aerial vehicles (UAVs) attracted significant popularity in both military
and civilian domains for various applications and services. Moreover, UAV-aided wireless …
and civilian domains for various applications and services. Moreover, UAV-aided wireless …