From sensors to safety: Internet of Emergency Services (IoES) for emergency response and disaster management

R Damaševičius, N Bacanin, S Misra - Journal of Sensor and Actuator …, 2023 - mdpi.com
The advancement in technology has led to the integration of internet-connected devices and
systems into emergency management and response, known as the Internet of Emergency …

Covert communications in air-ground integrated urban sensing networks enhanced by federated learning

D Wang, M Wu, C Chakraborty, L Min, Y He… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Urban sensing is a rapidly growing field that involves gathering real-time data from urban
environments. These smart sensing systems are pivotal in enhancing urban planning …

A NOMA and MRC enabled framework in drone-relayed vehicular networks: Height/trajectory optimization and performance analysis

Y He, F Huang, D Wang, R Zhang… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In this article, we present a drone-relayed vehicular networking architecture, which aims to
improve the achievable data rate of cell-edge vehicles in rural highway scenarios …

A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges

S Liu, L Zhu, F Huang, A Hassan, D Wang… - Journal of Marine Science …, 2023 - mdpi.com
Future generation communication systems are exemplified by 5G and 6G wireless
technologies, and the utilization of integrated air-to-sea (A2S) communication infrastructure …

A novel policy based on action confidence limit to improve exploration efficiency in reinforcement learning

F Huang, X Deng, Y He, W Jiang - Information Sciences, 2023 - Elsevier
Reinforcement learning has been used to solve many intelligent decision-making problems.
However, reinforcement learning still faces a challenge of the low exploration efficiency …

Blockchain-Based Secure Storage and Access Control Scheme for Supply Chain Ecological Business Data: A Case Study of the Automotive Industry

S Li, T Zhou, H Yang, P Wang - Sensors, 2023 - mdpi.com
The reliable circulation of automotive supply chain data is crucial for automotive
manufacturers and related enterprises as it promotes efficient supply chain operations and …

Aerial-Ground Integrated Vehicular Networks: A UAV-Vehicle Collaboration Perspective

Y He, D Wang, F Huang, R Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle mounted base stations (UAV-BSs) are expected to become an
integral component of future intelligent transportation systems, which can provide seamless …

Hybrid machine learning approach for resource allocation of digital twin in UAV-aided internet-of-vehicles networks

B Hazarika, K Singh, A Paul… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this study, we present a novel approach for efficient resource allocation in a digital twin
(DT) framework for task offloading in a UAV-aided Internet-of-Vehicles (IoV) network. Our …

A multi-subsampling self-attention network for unmanned aerial vehicle-to-ground automatic modulation recognition system

Y Shen, H Yuan, P Zhang, Y Li, M Cai, J Li - Drones, 2023 - mdpi.com
In this paper, we investigate the deep learning applications of radio automatic modulation
recognition (AMR) applications in unmanned aerial vehicle (UAV)-to-ground AMR systems …

A Novel Region-Construction Method for Multi-USV Cooperative Target Allocation in Air–Ocean Integrated Environments

Z Zhou, M Li, Y Hao - Journal of Marine Science and Engineering, 2023 - mdpi.com
The effective defense of sparsely populated border islands, surrounded by a multifaceted
sea, against enemy infiltration poses a crucial problem in national defense. One possible …