A lightweight digital twin migration method and system in a vehicle networking scene

By constructing a vehicle-to-everything (V2X) digital twin system and combining a caching model and a lightweight neural network model to optimize migration decisions, the resource constraints and synchronization delays of digital twins in urban V2X systems are solved, enabling efficient and flexible digital twin migration.

CN121433819BActive Publication Date: 2026-07-03GUANGDONG UNIV OF TECH
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Patent Information

Application Number
CN202511439391.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-10-10
Publication Date
2026-07-03
Estimated Expiration
2045-10-10

AI Technical Summary

Technical Problem

In urban vehicle-to-everything (V2X) systems, there is a contradiction between limited edge server resources and vehicle mobility, which makes it difficult to build and update digital twins in parallel and in real time. There is also insufficient integration of multi-source heterogeneous data, imperfect cross-domain collaborative management, and problems of synchronization delay and limited resources during migration.

Method used

A digital twin system for vehicle-to-everything (V2X) is constructed, including a communication model, a synchronization delay model, a caching model, and a migration model. A migration utility function for the digital twin is defined, and migration decisions are optimized using a weighted matching algorithm and a lightweight neural network model (Tiny MLP). The problems of migration lag and resource constraints are solved through a caching mechanism and a multi-agent proximal optimization algorithm (MAPPO).

Benefits of technology

Effectively reduce migration latency, improve migration flexibility and resource utilization, ensure the efficiency and quality of digital twin migration in resource-constrained or low-latency scenarios, and achieve stable synchronization and collaborative management of vehicle twins.

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Abstract

This invention provides a lightweight digital twin migration method and system for vehicle-to-everything (V2X) scenarios, relating to the field of urban V2X digital twins. The invention first constructs a V2X digital twin system, including a communication model, a synchronization delay model, a caching model, and a migration model. Based on the migration model, a digital twin migration utility function is defined. Based on the digital twin migration utility function, the communication model, the synchronization delay model, and the caching model, an optimization problem and its constraints for the V2X digital twin system are established. The optimization problem of the V2X digital twin system is solved to obtain the caching server and the optimal migration strategy. The digital twin is then migrated according to the optimal migration strategy, achieving digital twin migration. This invention utilizes a caching mechanism to effectively address the lag in vehicle twin migration and improve migration flexibility. Simultaneously, the use of Tiny MLP ensures effective feature representation capabilities while adapting to resource-constrained or low-latency scenarios, completing the transformation from environmental observation to action decision-making, and achieving digital twin migration while reducing migration time and energy consumption.
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