Status updates through queues

By Sanjit Krishnan Kaul, Roy D. Yates, Marco Gruteser. Annual Conference on Information Sciences and Systems, 2012

439 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

On the Age of Information in Status Update Systems With Packet Management (2015, neutral): “7”
Age of Information: A New Concept, Metric, and Tool (2018, methodology): “Utilizing a simple communication system model, in a series of papers ([32], [33], [30], and [58]), the first group of characterizations of the Age of Information metric had appeared by 2012.”
The Age of Information: Real-Time Status Updating by Multiple Sources (2016, methodology): “This paper expands on our analyses of status age in singlesource single-server queues [8], the M/M/1 LCFS queue with preemption in service [9], and the M/M/1 FCFS system with multiple sources [10].”
Optimal Status Update for Age of Information Minimization With an Energy Harvesting Source (2017, methodology): “The corresponding AoI has been analyzed in single-source singleserver queues [4], the M/M/1 Last-Come First-Served (LCFS) queue with preemption in service [5], the M/M/1 First-Come First-Served (FCFS) system with multiple sources [6], [7], and a multiple-source M/M/1 system which only keeps the late”
Age of Information: An Introduction and Survey (2020, background): “This prompted the study of lossy queues that may discard an arriving update while the server was busy or replace an older waiting update with a fresher arrival [18], [19], [65].”