Real-time status updating: Multiple sources

By Roy D. Yates, Sanjit Krishnan Kaul. IEEE International Symposium on Information Theory. Proceedings, 2012

329 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/53359ce0117f7fa6eecf2c93658d54d262148811

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Citations in the corpus

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: A New Concept, Metric, and Tool (2018, methodology): “Here we consider a system with multiple independent sources providing status updates to a common destination through an FCFS-served M/M/1 queue, as studied in [58].”
Age of information with packet management (2014, background): “The case with multiple sources was studied in [4].”
On the Age of Information in Status Update Systems With Packet Management (2015, methodology): “Simple network models based on queuing theory have been used in [5], [9], and [10], aiming to understand more fundamental characteristics of the proces s d cribing theage of information.”
The Age of Information: Real-Time Status Updating by Multiple Sources (2016, methodology): “For the N-user FCFS system, it was observed [10] that the adaptation”
Optimizing age-of-information in a multi-class queueing system (2015, methodology): “This single server queueing model is the same as that adopted by prior work on AoI [4], [5], [8].”
Age of Information: An Introduction and Survey (2020, background): “The first age analysis of the multi-source FCFS M/M/1 queue appeared in [66], which propagated to [22].”