Update or wait: How to keep your data fresh

By Yin Sun, Elif Uysal-Biyikoglu, Roy D. Yates, C. E. Koksal, Ness B. Shroff. IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 2016

946 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Epidemiology, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/b4005ffc8bb8add2764a08ca9d59161f159da303

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Citations in the corpus

The Age of Incorrect Information: A New Performance Metric for Status Updates (2019, background): “We suppose that the ACK/NACK packets are instantaneously delivered to the transmitter [5], [25].”
Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks (2018, background): “The authors in [10]–[13] consider the problem of optimizing the times in which packets are generated at the source in networks with energy-harvesting or maximum update frequency constraints.”
The Age of Information: Real-Time Status Updating by Multiple Sources (2016, background): “There have also been recent studies of energy-constrained updating [21]–[23] in which updates are submitted to the server with knowledge of the server state.”
Age of Information: An Introduction and Survey (2020, background): “In fact, the zero-wait sampling policy can be far from the optimum if (i) the goal is to minimize a nonlinear age function that grows quickly with respect to the AoI, and/or (ii) when the service times follow a heavy-tail distribution [32], [34].”
On the Role of Age of Information in the Internet of Things (2018, methodology): “Note that this is a generalization of the single source-destination pair model considered in most prior works on AoI in the literature [2], [3], [5], [7], [11].”
Age of Information: A New Concept, Metric, and Tool (2018, background): “(a) discrete service times and (b) log-normal distributed service times [52].”
Optimal Status Update for Age of Information Minimization With an Energy Harvesting Source (2017, background): “Optimal status update policy with knowledge of the server state has been studied in [21].”