Collaborative sensing in internet of things: A comprehensive survey
Collaborative sensing leverages the cooperation of a collection of sensors to complete a
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …
large-scale sensing task in Internet of Things (IoT). Although some previous studies have …
Towards autonomous multi-UAV wireless network: A survey of reinforcement learning-based approaches
Unmanned aerial vehicle (UAV)-based wireless networks have received increasing
research interest in recent years and are gradually being utilized in various aspects of our …
research interest in recent years and are gradually being utilized in various aspects of our …
Multi-agent deep reinforcement learning for multi-robot applications: A survey
J Orr, A Dutta - Sensors, 2023 - mdpi.com
Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …
example fields in which these successes have taken place include mathematics, games …
Resource scheduling based on deep reinforcement learning in UAV assisted emergency communication networks
Unmanned aerial vehicle (UAV) assisted emergency communication is an important
technique for future B5G/6G scenario. The UAV is usually considered as a mobile relay to …
technique for future B5G/6G scenario. The UAV is usually considered as a mobile relay to …
Integrated sensing and communications for UAV communications with jittering effect
Integrated sensing and communications (ISAC) is a key technique for UAV communications.
In this letter, we consider the ISAC design for UAV aided communications. Firstly, we build …
In this letter, we consider the ISAC design for UAV aided communications. Firstly, we build …
Robust multi-agent reinforcement learning method based on adversarial domain randomization for real-world dual-uav cooperation
A control system of multiple unmanned aerial vehicles (multi-UAV) is generally very complex
when they complete a task in a closely-cooperative manner, eg two UAVs cooperatively …
when they complete a task in a closely-cooperative manner, eg two UAVs cooperatively …
Toward resilient network slicing for satellite–terrestrial edge computing IoT
Satellite–terrestrial edge computing networks (STECNs) emerged as a global solution to
support multiple Internet of Things (IoT) applications in 6G networks. The enabling …
support multiple Internet of Things (IoT) applications in 6G networks. The enabling …
Region coverage-aware path planning for unmanned aerial vehicles: A systematic review
The use of unmanned aerial vehicles (UAVs) to carry out remote aerial surveys has become
prominent in recent years. The UAV-based survey faces several operational issues, such as …
prominent in recent years. The UAV-based survey faces several operational issues, such as …
Multi-agent reinforcement learning: Methods, applications, visionary prospects, and challenges
Multi-agent reinforcement learning (MARL) is a widely used Artificial Intelligence (AI)
technique. However, current studies and applications need to address its scalability, non …
technique. However, current studies and applications need to address its scalability, non …
A review of path planning for unmanned surface vehicles
B Xing, M Yu, Z Liu, Y Tan, Y Sun, B Li - Journal of Marine Science and …, 2023 - mdpi.com
With the continued development of artificial intelligence technology, unmanned surface
vehicles (USVs) have attracted the attention of countless domestic and international …
vehicles (USVs) have attracted the attention of countless domestic and international …