测试技术学报2024，Vol.38Issue(4)：371-377,7.DOI:10.3969/j.issn.1671-7449.2024048
无人机辅助智能交通系统中基于C-DQN的信息年龄最小化研究
Research on Age of Information Minimization Based on C-DQN in UAV Assisted Intelligent Transportation System
李登治 1王宁1
作者信息
- 1. 山西大学 物理电子工程学院,山西 太原 030006
- 折叠
摘要
Abstract
Unmanned aerial vehicle(UAV)have the potential to be deployed as vehicle data collectors in future intelligent transportation systems(ITS)due to their high maneuverability and low operational costs.To ensure the timeliness of the collected data,the freshness of the data received by UAVs from vehicles is measured in terms of age of information(AoI).Therefore,this paper proposes a UAV-assisted ITS scheme based on minimizing the Age of Information,by jointly optimizing the UAV's trajec-tory and the association strategy between the UAV and vehicles,to minimize the weighted sum of AoI for all vehicles.The optimization problem is modeled as a MARKOV decision process(MDP),and the curiosity-driven deep Q-learning network(C-DQN)algorithm is employed to solve it.Extensive simula-tion results demonstrate that this algorithm outperforms the traditional deep Q-learning network(DQN)algorithm in terms of exploration capability and performance gain.关键词
无人机/智能交通系统/信息年龄/马尔可夫决策过程/C-DQNKey words
Unmanned aerial vehicle/intelligent transportation system/age of information/markov decision process/C-DQN分类
信息技术与安全科学引用本文复制引用
李登治,王宁..无人机辅助智能交通系统中基于C-DQN的信息年龄最小化研究[J].测试技术学报,2024,38(4):371-377,7.
