The Internet of Vehicles (IoV) enables advanced applications such as autonomous driving, but it also demands significantly more computing and communication resources. Current research on task offloading struggles to address key challenges, including limited spectrum resources, real-time decision-making in highly dynami...
Feng-Hui Zhang, Xiang-Rui Xie, Yi-Ming Wang et al.· Computer Vision, Graphics an...· 0 citations
Vehicle-base station cooperative perception extends sensing coverage and detection precision in intelligent transportation systems. However, random task arrivals, heterogeneous communication-computing resources and short vehicle coverage residence time bring great difficulties to efficient task scheduling. To solve thi...
Feng-Hui Zhang, Xiang-Rui Xie, Jia-Xin Ma et al.· Computer Vision, Graphics an...· 0 citations
An SS-DDPG-based task scheduling framework for a collaborative robot-UAV-MEC architecture that achieves lower service delay, better workload distribution, and stronger robustness than conventional reinforcement-learning-based scheduling approaches is presented.