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Age of Information: An Introduction and Survey
Open accessAbstract
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.
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Cited by
Edge artificial intelligence for 6g: vision, enabling technologies, and applications
Letaief, K. B., Shi, Y., Lu, J., & Lu, J. (2022) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2021.3126076 · Cited by 829
“We hope this can inspire more advanced 6G wireless and information techniques (e.g., millimeter-wave and terahertz (THz) communications [217], [218], age of information [219]) to support edge AI systems for establishing integrated communication, computation and learning ecosystems.”
BackgroundYang, C., Kwong, C. F., Chieng, D., Kar, P., Yau, K.-L. A., & Chen, Y. (2025) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2024.3440033 · Cited by 33
Metadata
- Authors
- Yates, R. D., Sun, Y., Brown, D. R., Kaul, S. K., Modiano, E., & Ulukus, S.
- Venue
- IEEE Journal on Selected Areas in Communications
- Published
- 2021-05
- Volume
- 39
- Issue
- 5
- Pages
- 1183-1210
- ISSN
- 0733-8716 (ISSN-L)
- 1558-0008
- OpenAlex
- W3043659689
- Cited by
- 1,160
- References
- 69
- FWCI
- 83.27
- Type
- journal article
- Language
- en
- Open access
- green
- Funders
- NSF (CNS-1717041, CCF-1813050, CNS-1713725, CCF-1713977, ECCS-1807348)
- CNS (1836690)
- Army Research Office (W911NF-17-1-0508)
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