通信学报2024，Vol.45Issue(9)：92-100,9.DOI:10.11959/j.issn.1000-436x.2024148
信息年龄和能耗联合优化的无线体域网卸载和调度策略
Joint optimization strategy of age of information and energy consumption for offloading and scheduling in WBAN
摘要
Abstract
Both real-time physiological data transmission and reduced energy consumption are critical to wireless body area network(WBAN).A joint optimization strategy for offloading and scheduling was proposed to minimize the weighted sum of age of information(AoI)and energy consumption by determining whether data should be processed at sensor nodes or the Sink.To handle the strong coupling between offloading and scheduling decisions,a two-layer Mar-kov decision process(MDP)was used to approximate the optimal solution.A deep reinforcement learning(DRL)ap-proach was introduced to address the dimensionality issue.Simulations show that the DRL strategy performs comparably to the MDP under various weight factors and frame lengths.Furthermore,as the number of sensor nodes increases,the DRL strategy reduces the weighted sum by 3.58%and 24.9%compared to RRG and EG strategies,respectively,and con-verges twice as fast as the MDP.关键词
无线体域网/卸载调度/信息年龄/能耗Key words
wireless body area network/offloading and scheduling/age of information/energy consumption分类
电子信息工程引用本文复制引用
张政,谢鑫,柏桐,林金朝,李章勇..信息年龄和能耗联合优化的无线体域网卸载和调度策略[J].通信学报,2024,45(9):92-100,9.基金项目
国家自然科学基金资助项目(No.U21A20447,No.62171073,No.62311530103) （No.U21A20447,No.62171073,No.62311530103）
重庆市自然科学基金资助项目(No.CSTB2022NSCQ-MSX1523) （No.CSTB2022NSCQ-MSX1523）
重庆邮电大学博士研究生创新人才基金资助项目(No.BYJS202206)The National Natural Science Foundation of China(No.U21A20447,No.62171073,No.62311530103),The Na-ture Science Foundation of Chongqing(No.CSTB2022NSCQ-MSX1523),The Innovative Talent Program for Doctoral Students of Chongqing University of Posts and Telecommunications(No.BYJS202206) （No.BYJS202206）
