Unmanned aerial vehicle assisted v2v cache network optimization method for vehicle dynamic distribution

By employing a multi-drone-assisted hierarchical caching strategy and V2V communication, the collaborative caching between vehicles and drones is optimized, solving the network congestion problem caused by the dynamic distribution of vehicles in traditional networks and achieving low-latency and efficient file distribution.

CN121547752BActive Publication Date: 2026-06-09BEIJING UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
BEIJING UNIV OF TECH
Filing Date
2025-11-24
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Traditional terrestrial cellular networks struggle to adapt to the highly dynamic and spatiotemporally uneven content requests from vehicles on urban roads, leading to regional network congestion and service interruptions. Existing solutions lack quantitative analysis of the dynamic distribution characteristics of vehicles and cannot effectively organize and utilize the edge caching transmission advantages of vehicles.

Method used

A multi-drone-assisted hierarchical caching strategy is adopted, dividing the file library into a core layer, a supplementary layer, and a low-frequency layer according to popularity. The vehicles themselves cache popular files, and the vehicles share medium-popular files through V2V communication. The drones only retrieve files from the cloud server when the two-level cache fails. The drone deployment and caching strategy are optimized to minimize the average service latency of the system.

Benefits of technology

It significantly reduced the average service latency of the system, improved the utilization rate of vehicle cache resources, and formed an efficient file distribution system that prioritizes local, followed by collaborative, and supplemented by cloud services. This reduced the dependence on drones and the cloud and enabled low-latency cache resource utilization.

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Abstract

The application discloses a kind of unmanned vehicle dynamic distribution-oriented auxiliary V2V cache network optimization methods, comprising: step one designs multi-unmanned auxiliary layered cache strategy, the file in the library is arranged in descending order from high to low according to popularity, and is successively divided into core layer, supplementary layer and low-frequency layer, the core layer file cache mode is determined cache for each vehicle, the supplementary layer file cache mode is vehicle probability cache, and the low-frequency layer file is not cached by vehicle;When vehicle sends file request, establish own cache, V2V cache, obtain request file from cloud server through unmanned vehicle three-level response;Step two analyzes cache performance average service delay;Step three jointly optimizes cache strategy and unmanned vehicle deployment;The application forms local priority, cooperation second, and efficient file distribution system of cloud supplement, and optimizes unmanned vehicle quantity, and balance is obtained between cost and performance.
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