Optimal Sampling and Scheduling for Timely Status Updates in Multi-source Networks

IEEE Transactions on Information Theory(2021)

引用 71|浏览44
暂无评分
摘要
We consider a joint sampling and scheduling problem for optimizing data freshness in multi-source systems. Data freshness is measured by a non-decreasing penalty function of age of information, where all sources have the same age-penalty function. Sources take turns to generate update packets, and forward them to their destinations one-by-one through a shared channel with random delay. There is a ...
更多
查看译文
关键词
Optimal scheduling,Delays,Measurement,Data integrity,Complexity theory,Wireless sensor networks,Scheduling
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要