基于多优先级动态调度的高密度WBAN 任务卸载策略

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中图分类号：TP391 文献标志码：A 文章编号：1001-3695（2025）10-030-3129-08

doi：10. 19734/j. issn. 1001-3695.2025.03.0065

Multi-priority dynamic scheduling-based for high-density WBAN task offloading

Zhou Huayanga，b，Liao Yanga，b，Jiang Xiaoa，b，Leng Chengfengab，Qin Tuanfa，b† （a.SchoolofompterElectoics&foatio.angiKybotoryfiediaComicatio&euorkhoogi University，Nanning ，China）

Abstract：Toaddress thechallengesof multi-prioritydatatransmisionandresourceconstraints inhigh-densityWBAN for smarthealthcare，thispaperproposedataskofloading strategyintegratingdynamicpriorityevaluationandquantumoptimization.FirstlyiostucdgdesitytwrkodelineH-enariotegatingtaskiyingdd namic channelstateawarenesstoestablishacommunicationqualityasessmentsystembasedonphysiologicaldata characteristics.Secondly，itdesignedamulti-dimensionaldynamicshedulingframeworktoadaptivelyadjusttaskpriorityweightsbynaly zing physiologicalparameterdeviations，databacklogduration，andpreemptionevents，whileensuringlow-latencytransmissionfor emergencydatathroughpreemptivescheduling.Furthermore，itdevelopedanIQGAbyoptimizinglocalsearchcapabilitiesviadynamicquantumrotationgateadjustmentsand enhancingglobalconvergence withcatastrophecorrectionfunctions.Simulationresults demonstrate that the proposed strategy reduces average task processng time by 71.51% ，system energy consumption by 88. 21% ，high-priority task latency by 89.63% ，and improves convergence speed by 78.74% ，achieving a 114.43% overall system gain.This work provides theoreticaland technicalreferencesforeal-timeresourcealocationindense medicalITenviroments.

Keywords：healthcare InternetofThings；wirelessbodyareanetwork；priorityscheduling；improvedquantumgenetic algorithm；offloading strategy

0 引言

智慧医疗作为“健康中国”战略的重要支柱，正加速推进医疗健康服务的智能化升级1。（剩余20787字）