Age of Information: An Introduction and Survey

被引:650
作者
Yates, Roy D. [1 ,2 ]
Sun, Yin [3 ]
Brown, D. Richard, III [4 ]
Kaul, Sanjit K. [5 ]
Modiano, Eytan [6 ]
Ulukus, Sennur [7 ]
机构
[1] Rutgers State Univ, Wireless Informat Network Lab, New Brunswick, NJ 08854 USA
[2] Rutgers State Univ, Elect & Comp Engn ECE Dept, New Brunswick, NJ 08854 USA
[3] Auburn Univ, Dept Elect & Comp Engn, Auburn, AL 36849 USA
[4] Worcester Polytech Inst, Dept Elect & Comp Engn, Worcester, MA 01609 USA
[5] IIIT Delhi, Wireless Syst Lab, New Delhi 110020, India
[6] MIT, Lab Informat & Decis Syst LIDS, Cambridge, MA 02139 USA
[7] Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA
关键词
Monitoring; Measurement; Queueing analysis; Sun; Cyber-physical systems; Wireless networks; Surgery; Age of information (AoI); queueing systems; communication networks; timely source coding; information freshness; selective encoding; wireless communication; time measurement; packet delay; age-delay tradeoff; age-energy tradeoff; non-linear age penalty; information update system; TIMELY STATUS UPDATE; REMOTE ESTIMATION; LOW-LATENCY; ONLINE; NETWORKS; INDEX; TRANSMISSION; MINIMIZATION; POLICIES; SYSTEMS;
D O I
10.1109/JSAC.2021.3065072
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We summarize recent contributions in the broad area of age of information (AoI). In particular, we describe the current state of the art in the design and optimization of low-latency cyberphysical systems and applications in which sources send time-stamped status updates to interested recipients. These applications desire status updates at the recipients to be as timely as possible; however, this is typically constrained by limited system resources. We describe AoI timeliness metrics and present general methods of AoI evaluation analysis that are applicable to a wide variety of sources and systems. Starting from elementary single-server queues, we apply these AoI methods to a range of increasingly complex systems, including energy harvesting sensors transmitting over noisy channels, parallel server systems, queueing networks, and various single-hop and multi-hop wireless networks. We also explore how update age is related to MMSE methods of sampling, estimation and control of stochastic processes. The paper concludes with a review of efforts to employ age optimization in cyberphysical applications.
引用
收藏
页码:1183 / 1210
页数:28
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