计算机应用研究2025，Vol.42Issue(10)：3129-3136,8.DOI:10.19734/j.issn.1001-3695.2025.03.0065
基于多优先级动态调度的高密度WBAN任务卸载策略
Multi-priority dynamic scheduling-based for high-density WBAN task offloading
摘要
Abstract
To address the challenges of multi-priority data transmission and resource constraints in high-density WBAN for smart healthcare,this paper proposed a task offloading strategy integrating dynamic priority evaluation and quantum optimiza-tion.Firstly,it constructed a high-density WBAN network model in the H-IoT scenario,integrating task priority layering and dy-namic channel state awareness to establish a communication quality assessment system based on physiological data characteris-tics.Secondly,it designed a multi-dimensional dynamic scheduling framework to adaptively adjust task priority weights by analy-zing physiological parameter deviations,data backlog duration,and preemption events,while ensuring low-latency transmission for emergency data through preemptive scheduling.Furthermore,it developed an IQGA by optimizing local search capabilities via dy-namic quantum rotation gate adjustments and enhancing global convergence with catastrophe correction functions.Simulation re-sults demonstrate that the proposed strategy reduces average task processing 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 theoretical and technical references for real-time resource allocation in dense medical IoT environments.关键词
医疗物联网/无线体域网/优先级调度/改进量子遗传算法/任务卸载策略Key words
healthcare Internet of Things/wireless body area network/priority scheduling/improved quantum genetic algo-rithm/offloading strategy分类
信息技术与安全科学引用本文复制引用
周华阳,廖杨,江潇,冷承凤,覃团发..基于多优先级动态调度的高密度WBAN任务卸载策略[J].计算机应用研究,2025,42(10):3129-3136,8.基金项目
国家自然科学基金资助项目(61761007) （61761007）
广西科技基地和人才专项资助项目(桂科AD24010061) （桂科AD24010061）
广西重点研发计划资助项目(桂科AD25069071) （桂科AD25069071）
