Age Analysis of Critical Information in Internet of Vehicle Networks With Service Confluence

The timeliness of critical information (CI) for controlling connected and autonomous vehicles (CAVs) in Internet of vehicles is investigated, using the age of information (AoI) metric. A service confluence strategy is presented, where two roadside units extract CI packet for a CAV and the CAV adopts the AoI-minimum CI packet for control. We derive the average Age of Information (AoI) for initially synchronized CI packet arrivals, where the CI packets from both RSUs are transmitted at coordinated intervals, ensuring aligned arrival times. We then extend the analysis to asynchronous cases, where the CI packets from the two RSUs may arrive at the CAV at arbitrary, non-coordinated times due to differences in processing delays or timing discrepancies between the servers. Additionally, we consider cases where the service times are irrational numbers, which introduces further complexity in the AoI calculations.

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Publication Details

Journal
IEEE Open Journal of the Communications Society
Published
2025-01-01
DOI
https://doi.org/10.1109/ojcoms.2025.3556411
Citations
3
Primary Topic
Age of Information Optimization
Type
article
Field-Weighted Citation Impact
4.46

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article

Age Analysis of Critical Information in Internet of Vehicle Networks With Service Confluence

Dapeng Wu, Tony Q. S. Quek, Zhengchuan Chen, Shuyang Fang et al.
3 citations
IEEE Open Journal of the Communications Society
Age of Information Optimization
4.46
article

Age Analysis of Critical Information in Internet of Vehicle Networks With Service Confluence

Dapeng Wu, Tony Q. S. Quek, Zhengchuan Chen, Shuyang Fang, Νικόλαος Παππάς, Min Wang, Li Zhen, Tianqing Yang
article en
3 citations

Abstract

The timeliness of critical information (CI) for controlling connected and autonomous vehicles (CAVs) in Internet of vehicles is investigated, using the age of information (AoI) metric. A service confluence strategy is presented, where two roadside units extract CI packet for a CAV and the CAV adopts the AoI-minimum CI packet for control. We derive the average Age of Information (AoI) for initially synchronized CI packet arrivals, where the CI packets from both RSUs are transmitted at coordinated intervals, ensuring aligned arrival times. We then extend the analysis to asynchronous cases, where the CI packets from the two RSUs may arrive at the CAV at arbitrary, non-coordinated times due to differences in processing delays or timing discrepancies between the servers. Additionally, we consider cases where the service times are irrational numbers, which introduces further complexity in the AoI calculations.

IEEE Open Journal of the Communications SocietyVol. 6
Linköping University (SE), Chongqing University of Posts and Telecommunications (CN), Singapore University of Technology and Design (SG), Chongqing University (CN), City University of Hong Kong (HK), Xi’an University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing, Education Department of Shaanxi Province, Centre Scientifique et Technique du Bâtiment, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Key Research and Development Projects of Shaanxi Province
Openalex Percentile: Top 6%
Age of Information Optimization
4.46
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