Minimizing age of information in vehicular networks

By Sanjit Krishnan Kaul, Marco Gruteser, V. Rai, J. Kenney. Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, 2011

840 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/baec5b87ea132bcdb2298a42aebda86bd91f3b03

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

In Electrical and Electronic Engineering

Citations in the corpus

Scheduling Policies for Minimizing Age of Information in Broadcast Wireless Networks (2018, neutral): “Applications of AoI are studied in [22]–[25].”
The Age of Information: Real-Time Status Updating by Multiple Sources (2016, background): “In addition to these queue/network focused analyses, AoI has also appeared in various application areas, including age minimization in vehicular networks [65], [66], timely updates via replicated servers [67]–[70], timely source coding [71]–[73], dissemination of channel state information [74]–[77],”
Real-time status: How often should one update? (2012, methodology): “In [4] we look at minimizing the age of status updates sent by vehicles over a carrier-sense multiple access (CSMA) network.”
Optimizing age-of-information in a multi-class queueing system (2015, background): “In [6], [7] the authors consider the problem of minimizing the age of system state in vehicular networks.”
Status updates through queues (2012, background): “In [5] we look at minimizing the age of status updates over a large network of cars in which each car broadcasts its delay sensitive state periodically.”
Ultra-Reliable Low-Latency Vehicular Networks: Taming the Age of Information Tail (2018, background): “Since V2V safety applications are time-critical, the freshness of a vehicle’s status updates is of high importance [14], [15].”
A Learning-Based Incentive Mechanism for Federated Learning (2020, background): “ies studies [18], [19], they cannot be combined with incentive mechanism design for federated learning.”
On the Age of Information in Status Update Systems With Packet Management (2015, background): “Related Work Theage of informationwas formalized as a metric of interest in the context of vehic ular ad-hoc networks in [7] and [8].”
Age of Information: An Introduction and Survey (2020, methodology): “These simulation studies of vehicular updating [14], [15] prompted the AoI analysis in single-source single-server queues [4].”
Age of Information: A New Concept, Metric, and Tool (2018, background): “The first works [31, 32, 33, 30, 58] on Age of Information can be considered to provide a new framework in the context of timely communicating information.”
A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning (2021, background): “For example, driven by the requirement from the application layer, the freshness of the knowledge becomes one of the KPIs in remote monitoring/control systems [48].”