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A Spatial Model for Using the Age of Information in Cooperative Driving Applications

Authors:

Julian Heinovski,

Jorge Torres Gómez,

Falko DresslerAuthors Info & Claims

MSWiM '22: Proceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems

Pages 85 - 94

https://doi.org/10.1145/3551659.3559053

Published: 24 October 2022 Publication History

Abstract

The age of information (AoI) has been proposed as a metric for evaluating freshness of information; recently also within the context of intelligent transportation systems (ITS). The most frequently used definition of AoI, however, does only account for the generation time of the data but not for application-specific aspects. In ITS, for example, the distance of vehicles is not considered and nodes farther away may experience an increased AoI due to effects of the wireless communication channel. We propose a new way of interpreting the AoI in such a context, also considering the location of the transmitting vehicle as a metric of importance to the information. In particular, we introduce a weighting coefficient used in combination with the peak age of information (PAoI) metric to describe the AoI requirement, emphasizing on packets from more important neighbors. As an example, we characterize such importance using the orientation and the distance of the involved vehicles. We use the derived model to focus on timely updates of relevant vehicles for meeting a given AoI requirement, which can save resources on the wireless channel while keeping the AoI minimal.

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Cited By

Abou Rahal Jde Veciana GBoukerche ADe Rango FSun Z(2023)Scheduling "Last Minute" Updates for Timely Decision-MakingProceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems10.1145/3616388.3617518(65-72)Online publication date: 30-Oct-2023
https://dl.acm.org/doi/10.1145/3616388.3617518
Heinovski JTorres Gómez JDressler F(2023)Focusing on information context for ITS using a spatial age of information modelComputer Communications10.1016/j.comcom.2023.07.002209:C(203-216)Online publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.comcom.2023.07.002

Index Terms

A Spatial Model for Using the Age of Information in Cooperative Driving Applications
1. Networks
  1. Network performance evaluation
    1. Network performance modeling
    2. Network simulations
  2. Network protocols
    1. Application layer protocols

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Information & Contributors

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Published In

cover image ACM Conferences

MSWiM '22: Proceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems

October 2022

243 pages

ISBN:9781450394826

DOI:10.1145/3551659

General Chair:
Azzedine Boukerche
University of Ottawa, Canada
,
Program Chairs:
Carlo Giannelli
University of Ferrara, Italy
,
Zhi Sun
Tsinghua University, China

Copyright © 2022 ACM.

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Publication History

Published: 24 October 2022

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Deutsche Forschungsgemeinschaft
Bundesministerium für Bildung und Forschung

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MSWiM '22

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SIGSIM

MSWiM '22: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems

October 24 - 28, 2022

Quebec, Montreal, Canada

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MSWiM '22 Paper Acceptance Rate 27 of 117 submissions, 23%;

Overall Acceptance Rate 398 of 1,577 submissions, 25%

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Cited By

Abou Rahal Jde Veciana GBoukerche ADe Rango FSun Z(2023)Scheduling "Last Minute" Updates for Timely Decision-MakingProceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems10.1145/3616388.3617518(65-72)Online publication date: 30-Oct-2023
https://dl.acm.org/doi/10.1145/3616388.3617518
Heinovski JTorres Gómez JDressler F(2023)Focusing on information context for ITS using a spatial age of information modelComputer Communications10.1016/j.comcom.2023.07.002209:C(203-216)Online publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.comcom.2023.07.002

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