重庆大学学报2025，Vol.48Issue(8)：86-98,13.DOI:10.11835/j.issn.1000-582X.2025.08.008
车联网业务特性模型下卸载反馈策略的设计与评估
Design and evaluation of an offload feedback strategy framework based on a service characteristic model in the internet of vehicles
摘要
Abstract
With the proliferation of diverse service characteristics in the internet of vehicles(IoV)under the mobile edge computing(MEC)paradigm,evaluating server-to-end transmission performance presents a significant challenge,particularly due to the complex modeling requirements that must account for service-specific traits in offload feedback strategies.To address this,a cache scheduling evaluation framework is proposed,incorporating time-varying and multi-type services based on queuing theory and a Markov-modulated service process.The proposed framework supports flexible adjustments to service characteristics,bidirectional processing rates,and offload feedback strategies,enabling it to adapt to various communication environments.Within this framework,an offload feedback strategy based on statistical prediction is proposed.Numerical simulations show that the the proposed strategy improves transmission performance by approximately 50%compared with traditional approaches.These findings indicate that the proposed framework provides a valuable reference for designing adaptive strategies under diverse network conditions and hardware configurations.关键词
车联网/边缘计算/业务模型/马尔可夫调制服务/资源分配Key words
internet of vehicles/mobile edge computing/sevice modeling/Markov-modulated services/resource allocation分类
信息技术与安全科学引用本文复制引用
王诗,曹大焱,朱笑莹,王铭宇,王浩颖..车联网业务特性模型下卸载反馈策略的设计与评估[J].重庆大学学报,2025,48(8):86-98,13.基金项目
国家重点研发计划(2018YFB1403303) （2018YFB1403303）
辽宁省博士启动基金(2019-BS-114).Supported by Research Fund for National Key Research and Development Program of China(2018YFB1403303)and the Research Foundation for Doctoral Program of Liaoning Province(2019-BS-114). （2019-BS-114）
