邊緣計(jì)算環(huán)境下智能車聯(lián)網(wǎng)任務(wù)卸載與資源分配協(xié)同優(yōu)化研究

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中圖分類號(hào)：U462 收稿日期：2025-04-20 DOI： 10.19999/j.cnki.1004-0226.2025.08.009

Collaborative Optimization of Task Unloading and Resource Allocation of intelligent Internet of Vehicles in Edge Computing Environment

Zhu Yanyan Qin XiaoleiFu Zhao Shi Jinhong Science and Technology College of Hubei University of Arts and Science，Xiangyang 441025，China Abstract：Therapiddevelopmentofintelligentconnectedvehicles poses aseverechallenge tothecomputingcapabilitiesof vehicles，andtraditionalcloudcomputingmodelsareunabletomeetreal-timerequirementsdue totansmissondelays.Edgecomputing，by deployingdistribtedodesatteedgeoftenetwork，provdesnarprocesingcapabilityforvehicletasksndbecoesthkeytech nologtsolvethisproblem.Focusingonthecollbrativeoptimzatiooftaskuloadingandresouealocationoftheinteetofvecles intheedgecomputingenvironment，thispapersystematicallanalyzestheelevanttheoreticalbasisandresearchstatus，buildsa collaborativeoizationmodel itegatigdnaicseearacteristis，anddiscuesitsapplicationaluininteligenttraspta tion，providing theoretical and technical reference for improving the performance ofthe Internet ofvehicles system.

Keywords：Edgecomputing;Intelligentvehiclenetworking;Taskuinstallation;Resourceallocation;Collaborativeotation

1前言

隨著5G、人工智能與物聯(lián)網(wǎng)技術(shù)的深度融合，智能車聯(lián)網(wǎng)正從概念走向規(guī)模化應(yīng)用。（剩余3488字）