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A V2V Emergent Message Dissemination Scheme for 6G-Oriented Vehicular Networks
Xidian Univ, Sch Telecommun Engn, Xian 710071, Peoples R China..
State Grid Jilin Prov Elect Power Co Ltd, Informat Commun Co, Changchun, Peoples R China..
State Grid Jilin Prov Elect Power Co Ltd, Informat Commun Co, Changchun, Peoples R China..
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Information Science and Engineering.ORCID iD: 0000-0002-5407-0835
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2023 (English)In: Chinese journal of electronics, ISSN 1022-4653, E-ISSN 2075-5597, Vol. 32, no 6, p. 1179-1191Article in journal (Refereed) Published
Abstract [en]

To ensure traffic safety and improve traffic efficiency, vehicular networks come up with multiple types of messages for safety and efficiency applications. In sixth-generation (6G) systems, these messages should be timely and error-free disseminated through vehicle-to-vehicle (V2V) communication to ensure traffic safety and efficiency. V2V supports direct communication between two vehicle user equipments, regardless of whether a base station is involved. We propose a packet delivery ratio (PDR)-based message dissemination scheme (PDR-MD) between V2V in 6G-oriented vehicular networks to select relay vehicles when broadcasting emergent messages. This scheme grasps the balance between vehicle distance and PDR so as to reduce transmission delay while ensuring reliable PDR. We compared the PDR-MD scheme with other probabilistic broadcasting schemes. The experimental results show that the PDR-MD protocol can maintain close to 95% and above PDR in transmitting emergent messages, and the transfer rate stays below 40%.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. Vol. 32, no 6, p. 1179-1191
Keywords [en]
Internet of vehicles, 6G, Vehicle-to-vehicle (V2V) communication, Data dissemination
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-343382DOI: 10.23919/cje.2022.00.337ISI: 001141881800010Scopus ID: 2-s2.0-105024933923OAI: oai:DiVA.org:kth-343382DiVA, id: diva2:1837208
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QC 20240213

Available from: 2024-02-13 Created: 2024-02-13 Last updated: 2026-06-22Bibliographically approved

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Xiao, Ming

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