Q-Learning Based Joint Offloading Strategy for C-V2X Edge Computing

Q-Learning Based Joint Offloading Strategy for C-V2X Edge Computing

The team led by Professor Ai Bo from the School of Electronic Information Engineering at Beijing Jiaotong University proposed an offloading method based on cellular vehicular networks, building on previous research in vehicular edge computing. The relevant research results were published in the “Acta Electronica Sinica” 2024, Issue 2, under the title “Q-Learning Based Joint … Read more

Research on Offloading Decision Algorithms in IoT Edge Computing

Research on Offloading Decision Algorithms in IoT Edge Computing

With the continuous innovation of IoT technology and the widespread popularity of IoT mobile terminal devices, new mobile applications are constantly emerging. Although the CPU and memory of IoT mobile terminal devices continue to innovate in physical design, a single device is limited by its own conditions such as CPU, battery, and memory, making it … Read more

Jing Chao and Xu Jianwu: A Privacy-Preservation-Aware Delay Optimization Task Offloading Algorithm for Collaborative Edge Computing

Jing Chao and Xu Jianwu: A Privacy-Preservation-Aware Delay Optimization Task Offloading Algorithm for Collaborative Edge Computing

Abstract: Although collaborative edge computing systems enhance the performance of mobile edge computing, users face significant privacy leakage issues during task offloading. To address this problem, we designed a Privacy-Preservation-Aware Delay Optimization task offloading algorithm (PPDO) within the collaborative edge computing system. By considering two types of privacy—location and usage patterns—we established a privacy task … Read more