A survey of maritime unmanned search system: Theory, applications and future directions
The rising frequency of ocean activities, such as ocean transportation and marine resources
development, inevitably leads to a higher incidence of sudden accidents at sea. Maritime …
development, inevitably leads to a higher incidence of sudden accidents at sea. Maritime …
Vehicular communication network enabled CAV data offloading: A review
The connected and autonomous vehicles (CAV) applications and services-based traffic
make an extra burden on the already congested cellular networks. Offloading is envisioned …
make an extra burden on the already congested cellular networks. Offloading is envisioned …
Twinport: 5g drone-assisted data collection with digital twin for smart seaports
Numerous ports worldwide are adopting automation to boost productivity and modernize
their operations. At this point, smart ports become a more important paradigm for handling …
their operations. At this point, smart ports become a more important paradigm for handling …
A survey on applications of unmanned aerial vehicles using machine learning
Unmanned Aerial Vehicles (UAVs) play an important role in many applications, including
health, transport, telecommunications and safe and rescue operations. Their adoption can …
health, transport, telecommunications and safe and rescue operations. Their adoption can …
A Survey on Air-to-Sea Integrated Maritime Internet of Things: Enabling Technologies, Applications, and Future Challenges
Future generation communication systems are exemplified by 5G and 6G wireless
technologies, and the utilization of integrated air-to-sea (A2S) communication infrastructure …
technologies, and the utilization of integrated air-to-sea (A2S) communication infrastructure …
A review of research on reinforcement learning algorithms for multi-agents
K Hu, M Li, Z Song, K Xu, Q Xia, N Sun, P Zhou, M Xia - Neurocomputing, 2024 - Elsevier
In recent years, multi-agent reinforcement learning techniques have been widely used and
evolved in the field of artificial intelligence. However, traditional reinforcement learning …
evolved in the field of artificial intelligence. However, traditional reinforcement learning …
Cooperative Data Collection for UAV-Assisted Maritime IoT Based on Deep Reinforcement Learning
In maritime data collection scenarios, achieving the rapid delivery of data from buoy sensor
nodes to the shipboard station is a challenging issue. Utilizing unmanned aerial vehicles …
nodes to the shipboard station is a challenging issue. Utilizing unmanned aerial vehicles …
DRL-Optimized Optical Communication for a Reliable UAV-Based Maritime Data Transmission
Maritime data transmission with unmanned aerial vehicles (UAVs) in maritime Internet of
Things (MIoT) systems has received increasing attention due to its flexibility and low cost. To …
Things (MIoT) systems has received increasing attention due to its flexibility and low cost. To …
Energy-Efficient Flight Scheduling and Trajectory Optimization in UAV-Aided Edge Computing Networks
Energy saving is a critical issue in UAV-aided edge computing for their limited battery
storage. Most recent studies in UAV-aided edge computing have focused on reducing the …
storage. Most recent studies in UAV-aided edge computing have focused on reducing the …
Collaborative Data Collection in UAV-Enabled Maritime IoT with Constrained Aerial Base Stations
X Fu, M Ren, X Liu - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-enabled Internet of things (IoT) systems are considered an
effective solution for maritime environmental monitoring. However, in the maritime data …
effective solution for maritime environmental monitoring. However, in the maritime data …