一种基于软件定义网络架构下功率控制和存储优化机制
By employing the MAQL algorithm under a software-defined network architecture in vehicle-to-everything (V2X) networks to optimize information storage and communication power allocation for RSUs, the problems of regional connectivity and fog computing complexity of RSUs are solved, achieving high efficiency and low latency in information transmission and optimizing information sharing and storage between vehicles.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DONGGUAN UNIV OF TECH
- Filing Date
- 2023-01-20
- Publication Date
- 2026-07-17
AI Technical Summary
In the vehicle-to-everything (V2X) environment, the regional connectivity issues of RSUs lead to increased information transmission latency, the fog computing architecture increases architectural complexity and computational redundancy, and the SDN controller has insufficient spectrum resources in high-density vehicle areas, making it difficult to achieve efficient information transmission and storage optimization.
A power control and storage optimization mechanism based on a software-defined network architecture is adopted. The MAQL algorithm is used to optimize the information storage and communication power allocation of RSUs. The information storage and communication of RSUs are optimized by minimizing the sum of AoI. Reinforcement learning algorithm is combined to update actions and rewards, so as to realize information sharing and power allocation among RSUs.
It effectively reduced information transmission latency, optimized the communication power allocation of RSUs, improved information freshness and transmission efficiency, reduced network complexity and computational redundancy, and supported efficient information exchange between vehicles.
Smart Images
Figure CN116074785B_ABST