计算机工程2025，Vol.51Issue(9)：201-212,12.DOI:10.19678/j.issn.1000-3428.0069365
6G网络下超密集无线体域网高效卸载策略
Efficient Offloading Strategy for Ultra-Dense Wireless Body Area Networks in 6G Networks
摘要
Abstract
Ultra-dense Wireless Body Area Networks(WBAN)integrated into 6G networks face the issues of scarce computational resources and co-channel interference.This study proposes an interference-aware efficient task offloading strategy to address these challenges.First,a Software Defined Network(SDN)-based edge computing architecture for WBAN medical information is designed,and a priority scoring mechanism and priority queuing model that consider historical states are established.Second,a Neighbor Node Aware Algorithm(NNAA)is proposed to generate a neighbor node matrix for the current superframe node.Subsequently,an Interference-Aware Offloading Strategy(IAOS)is introduced,which defines a system benefit model that considers offloading gains,offloading overheads,and offloading states.Next,an objective function that considers both the system benefits and the number of concurrent nodes is designed.Crossover and mutation strategies from genetic algorithms are incorporated to escape local optima,and corrections are made for infeasible solutions.Finally,an Improved Binary Kepler Optimization Algorithm(IBKOA)is used to derive the offloading decision that maximizes the objective function.Experimental results demonstrate that in environments with varying data volumes,the IAOS strategy reduces the latency by an average of 74.5％compared with other algorithms.In environments with varying numbers of patients,the IAOS strategy achieves average reductions of 61.43％,59.28％,and 58％in node interference rate,latency,and energy consumption,respectively,compared with the comparison algorithms,while increasing the throughput and system benefits by average values of 149.5％and 74.38％,respectively.关键词
6G网络/无线体域网/软件定义网络/边缘计算/共信道干扰/任务卸载策略Key words
6G network/Wireless Body Area Networks(WBAN)/Software Defined Network(SDN)/edge computing/co-channel interference/task offloading strategy分类
信息技术与安全科学引用本文复制引用
黄业恒,覃团发,苏振朗,王素红..6G网络下超密集无线体域网高效卸载策略[J].计算机工程,2025,51(9):201-212,12.基金项目
国家自然科学基金(61761007). （61761007）
