Age of Information (AoI) has become an important concept in communications, as it allows system designers to measure the freshness of the information available to remote monitoring or control processes. However, its definition tacitly assumes that new information is used at any time, which is not always the case: the instants at which information is collected and used may be dependent on a certain query process, and resource-constrained environments such as most Internet of Things (IoT) use cases require precise timing to fully exploit the limited available transmissions. In this work, we consider a pull-based communication model in which the freshness of information is only important when the receiver generates a query: if the monitoring process is not using the value, the age of the last update is irrelevant. We optimize the Age of Information at Query (QAoI), a metric that samples the aoi at relevant instants, better fitting the pull-based resource-constrained scenario, and show how this can lead to very different choices. Our results show that qaoi-aware optimization can significantly reduce the average and worst-case perceived age for both periodic and stochastic queries.

Original languageEnglish
JournalI E E E Transactions on Communications
Issue number3
Pages (from-to)1606-1622
Number of pages17
Publication statusPublished - 1 Mar 2022


  • Age of Information
  • Error probability
  • Internet of Things
  • Markov Decision Processes
  • Measurement
  • Optimization
  • Receivers
  • Satellites
  • Wireless communication
  • networked control systems
  • pull-based communication


Dive into the research topics of 'Query Age of Information: Freshness in Pull-Based Communication'. Together they form a unique fingerprint.

Cite this