Age of information with packet management
By Maice Costa, Marian Codreanu, Anthony Ephremides. 2014 IEEE International Symposium on Information Theory, 2014
324 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Epidemiology
View Paper: https://www.semanticscholar.org/paper/eb38626e922fc342128cbe3a04135a826c4e7dd9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Eytan H. Modiano
- Roy D. Yates
- Sanjit Krishnan Kaul
- Nikolaos Pappas
- Vangelis Angelakis
- Antzela Kosta
- Jing Yang
- Jingxian Wu
In Electrical and Electronic Engineering
- Eytan H. Modiano
- Roy D. Yates
- Sanjit Krishnan Kaul
- Nikolaos Pappas
- Vangelis Angelakis
- Antzela Kosta
- Jing Yang
- Sennur Ulukus
In Epidemiology
- Eytan H. Modiano
- Nikolaos Pappas
- Roy D. Yates
- Sanjit Krishnan Kaul
- Vangelis Angelakis
- Antzela Kosta
- Jing Yang
- Xianwen Wu
Citations in the corpus
- On the Age of Information in Status Update Systems With Packet Management (2015, result): “Part of the results have been presented in [6].”
- Age of Information: An Introduction and Survey (2020, methodology): “These strategies, identified as packet management [18], [19], include the M/M/1/1 queue that blocks and clears a new arrival while the server is busy, the M/M/1/2 queue that will queue one waiting packet but blocks an arrival when the waiting space is occupied, and the M/M/1/2∗ queue that will preem”
- Optimal Status Update for Age of Information Minimization With an Energy Harvesting Source (2017, background): “A related metric, Peak Age of Information (PAoI), is introduced in [12] and [13], and has”
- Optimizing age-of-information in a multi-class queueing system (2015, methodology): “This can be viewed as the server is performing packet management [9].”
- Update or wait: How to keep your data fresh (2016, unknown): “In [6], it was found that a good policy is to discard the old packets waiting in the queue if a new sample arrives, which can greatly reduce the impact of queueing delay.”
- Age of Information: A New Concept, Metric, and Tool (2018, methodology): “Finally, a new performance metric called Peak Age of Information introduced in [11] is presented.”
- The Age of Information: Real-Time Status Updating by Multiple Sources (2016, background): “[14], [15] analyzed AoI and PAoI for M/M/1/1 and M/M/1/2 queues that discard arriving updates if the system is full and also for a third queue, dubbed M/M/1/2*, in which an arriving update would preempt a waiting update.”