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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 10

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

Zhou Huayang1,2
Liao Yang1,2
Jiang Xiao1,2
Leng Chengfeng1,2
Qin Tuanfa1,2
1. School of Computer, Electronics & Information, Guangxi University, Nanning 530004, China
2. Guangxi Key Laboratory of Multimedia Communications & Network Technology, Nanning 530004, China
DOI: 10.19734/j.issn.1001-3695.2025.03.0065

Abstract

To addresses the challenges of multi-priority data transmission and resource constraints in high-density wireless body area networks (WBAN) for smart healthcare. A task offloading strategy integrating dynamic priority evaluation and quantum optimization was proposed. First, a high-density WBAN network model was constructed in the healthcare Internet of Things (H-IoT) scenario, integrating task priority layering and dynamic channel state awareness to establish a communication quality assessment system based on physiological data characteristics. Second, a multi-dimensional dynamic scheduling framework was designed to adaptively adjust task priority weights by analyzing physiological parameter deviations, data backlog duration, and preemption events, while ensuring low-latency transmission for emergency data through preemptive scheduling. Furthermore, an improved quantum genetic algorithm (IQGA) was developed by optimizing local search capabilities via dynamic quantum rotation gate adjustments and enhancing global convergence with catastrophe correction functions. Simulation results 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.

Foundation Support

国家自然科学基金资助项目(61761007)
广西科技基地和人才专项(桂科AD24010061)
广西重点研发计划项目(桂科AD25069071)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.03.0065
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 10

Publish History

[2025-06-16] Accepted Paper

Cite This Article

周华阳, 廖杨, 江潇, 等. 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). (2025-06-19). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0065. (Zhou Huayang, Liao Yang, Jiang Xiao, et al. Multi-priority dynamic scheduling-based for high-density WBAN task offloading [J]. Application Research of Computers, 2025, 42 (10). (2025-06-19). https://doi.org/10.19734/j.issn.1001-3695.2025.03.0065. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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