A survey of cyber-physical systems from a game-theoretic perspective
With the emergence of the Internet-of-Things (IoT), artificial intelligence, and communication
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …
technologies, cyber-physical systems (CPS) have revolutionized the engineering paradigm …
Swarm robotics: A Survey from a Multi-tasking Perspective
The behaviour of social insects such as bees and ants has influenced the development of
swarm robots. To enable robots to cooperate together, swarm robotics employs principles …
swarm robots. To enable robots to cooperate together, swarm robotics employs principles …
Mixed game-based AoI optimization for combating COVID-19 with AI bots
Since the outbreak of COVID-19 pandemic in 2020, a dramatic loss of human life has
occurred and this trend presents an unprecedented challenge to public health, economic …
occurred and this trend presents an unprecedented challenge to public health, economic …
Bayesian optimization enhanced deep reinforcement learning for trajectory planning and network formation in multi-UAV networks
In this paper, we employ multiple UAVs coordinated by a base station (BS) to help the
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
ground users (GUs) to offload their sensing data. Different UAVs can adapt their trajectories …
A swarm of unmanned vehicles in the shallow ocean: A survey
G Liu, L Chen, K Liu, Y Luo - Neurocomputing, 2023 - Elsevier
With the rapid development of offshore exploration, autonomous underwater vehicles
(AUVs) have come in great diversities depending on their particular specifications in civil …
(AUVs) have come in great diversities depending on their particular specifications in civil …
A survey on energy optimization techniques in UAV-based cellular networks: from conventional to machine learning approaches
Wireless communication networks have been witnessing unprecedented demand due to the
increasing number of connected devices and emerging bandwidth-hungry applications …
increasing number of connected devices and emerging bandwidth-hungry applications …
A task-driven sequential overlapping coalition formation game for resource allocation in heterogeneous UAV networks
A heterogeneous unmanned aerial vehicle (UAV) network where UAVs carrying different
resources form coalition and cooperatively carry out tasks is of crucial importance for …
resources form coalition and cooperatively carry out tasks is of crucial importance for …
Digital-twin-assisted task assignment in multi-UAV systems: A deep reinforcement learning approach
Most existing multiunmanned aerial vehicle (multi-UAV) systems focus on fly path or energy
consumption for task assignment, while little attention has been paid to the dynamic feature …
consumption for task assignment, while little attention has been paid to the dynamic feature …
Task selection and scheduling in UAV-enabled MEC for reconnaissance with time-varying priorities
Z Qin, H Wang, Z Wei, Y Qu, F Xiong… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
In this article, we study the problem of task selection and scheduling in unmanned aerial
vehicle (UAV)-enabled multiaccess edge computing for reconnaissance (ASSUMER) …
vehicle (UAV)-enabled multiaccess edge computing for reconnaissance (ASSUMER) …
Computation offloading in uav-enabled edge computing: A stackelberg game approach
X Yuan, Z Xie, X Tan - Sensors, 2022 - mdpi.com
This paper studies an efficient computing resource offloading mechanism for UAV-enabled
edge computing. According to the interests of three different roles: base station, UAV, and …
edge computing. According to the interests of three different roles: base station, UAV, and …