能量收集物联网中信息年龄优化调度策略  

Age of Information Optimal Scheduling Strategy in Energy Harvesting Internet of Things

作　　者：叶恒舟 覃启航 YE Hengzhou;QIN Qihang(Guangxi Key Laboratory of Embedded Technology and Intelligent System,Guilin University of Technology,Guilin 541006,China)

机构地区：[1]桂林理工大学广西嵌入式技术与智能系统重点实验室,广西桂林541006

出　　处：《软件导刊》2024年第12期92-98,共7页Software Guide

基　　金：广西重点研发计划项目(桂科AB23026004);广西嵌入式技术与智能系统重点实验室主任基金项目(2019-01-10)。

摘　　要：信息年龄(AoI)是度量数据新鲜度的指标,是能量采集物联网优化设计的重要考虑因素。现有AoI优化策略往往仅从源节点侧或基站侧进行优化设计,为此针对具有多源节点、有能量上限、理想信道的能量采集物联网设计了一种兼顾源节点采样策略与基站调度策略的联合优化方案。源节点采样策略考虑了如下平衡:采样时间越早,缓存样本的AoI越大;采样时间太晚,则可能浪费能源,或者来不及上传基站。基站调度基于贪心策略,选择能够使系统的长期平均AoI增加最小的源节点。研究表明,与已有的成熟基线方法相比,该方法可以获得更好的长期平均AoI。Age of Information(AoI)is a measure of data freshness,which is an important consideration in the optimization design of energy harvesting IoT.Existing AoI optimization strategies are often designed only from the source node side or the base station side.In this regard,a joint optimization scheme that takes into account both the source node sampling strategy and the base station scheduling strategy is designed for the energy harvesting IoT with multiple source nodes,an energy cap,and an ideal channel.The source node sampling strategy considers the following tradeoffs:the earlier the sampling time,the larger the AoI of the cached samples;if the sampling time is too late,the energy may be wasted or too late to be uploaded to the base station.The base station scheduling is based on a greedy strategy,i.e.,selecting the source node that minimizes the long-term average AoI increase of the system.Simulation analysis shows that the method can obtain better long term average AoI compared to existing proven baseline methods.

关 键 词：信息年龄 能量收集物联网 采样策略 调度策略 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]