{
  "id": "2007.08564",
  "version": "v1",
  "published": "2020-07-16T19:00:24.000Z",
  "updated": "2020-07-16T19:00:24.000Z",
  "title": "Age of Information: An Introduction and Survey",
  "authors": [
    "Roy D. Yates",
    "Yin Sun",
    "D. Richard Brown III",
    "Sanjit K. Kaul",
    "Eytan Modiano",
    "Sennur Ulukus"
  ],
  "categories": [
    "cs.IT",
    "cs.NI",
    "math.IT"
  ],
  "abstract": "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.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2020-07-16T19:00:24.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "information",
      "applications desire status updates",
      "introduction",
      "sources send time-stamped status updates",
      "parallel server systems"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}