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 …
Communication and control in collaborative UAVs: Recent advances and future trends
The recent progress in unmanned aerial vehicles (UAV) technology has significantly
advanced UAV-based applications for military, civil, and commercial domains. Nevertheless …
advanced UAV-based applications for military, civil, and commercial domains. Nevertheless …
AI-based resource provisioning of IoE services in 6G: A deep reinforcement learning approach
Currently, researchers have motivated a vision of 6G for empowering the new generation of
the Internet of Everything (IoE) services that are not supported by 5G. In the context of 6G …
the Internet of Everything (IoE) services that are not supported by 5G. In the context of 6G …
Routing protocols for unmanned aerial vehicle-aided vehicular ad hoc networks: A survey
In intelligent transportation systems, a vehicular ad hoc network (VANET) has a significant
impact in enhancing road safety, traffic management efficiency, and in-vehicle infotainment …
impact in enhancing road safety, traffic management efficiency, and in-vehicle infotainment …
A NOMA-enabled framework for relay deployment and network optimization in double-layer airborne access VANETs
A non-orthogonal multiple access (NOMA)-enabled double-layer airborne access vehicular
ad hoc networks (DLAA-VANETs) architecture is designed in this paper, which consists of a …
ad hoc networks (DLAA-VANETs) architecture is designed in this paper, which consists of a …
Demand-driven deep reinforcement learning for scalable fog and service placement
The increasing number of Internet of Things (IoT) devices necessitates the need for a more
substantial fog computing infrastructure to support the users' demand for services. In this …
substantial fog computing infrastructure to support the users' demand for services. In this …
Security in networks of unmanned aerial vehicles for surveillance with an agent-based approach inspired by the principles of blockchain
Unmanned aerial vehicles (UAVs) can support surveillance even in areas without network
infrastructure. However, UAV networks raise security challenges because of its dynamic …
infrastructure. However, UAV networks raise security challenges because of its dynamic …
Study on mixed traffic of autonomous vehicles and human-driven vehicles with different cyber interaction approaches
XY Guo, G Zhang, AF Jia - Vehicular Communications, 2023 - Elsevier
The emergence of autonomous vehicles will significantly improve traffic efficiency and
safety. Before the fully autonomous driving of traffic system, the mixed traffic with …
safety. Before the fully autonomous driving of traffic system, the mixed traffic with …
Enhanced clustering based routing protocol in vehicular ad‐hoc networks
A Naeem, M Rizwan, S Alsubai… - … Electrical Systems in …, 2023 - Wiley Online Library
A vehicular ad‐hoc network (VANET) is derived from a mobile ad‐hoc network that is a part
of less infrastructure network design. Vehicular communication in VANET can be achieved …
of less infrastructure network design. Vehicular communication in VANET can be achieved …
NOMA-Enhanced Cooperative Relaying Systems in Drone-Enabled IoV: Capacity Analysis and Height Optimization
Using the drone as a cooperative relay (CR) can improve the connectivity of Internet of
Vehicles (IoV) on highways in remote areas. Meanwhile, considering limited spectrum …
Vehicles (IoV) on highways in remote areas. Meanwhile, considering limited spectrum …