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Evaluation of Greedy and CBF for ETSI non-area GeoNetworking: The impact of DCC
Halmstad University, School of Information Technology.ORCID iD: 0000-0003-0887-5226
ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.
Universidad Internacional de la Rioja, Logroño, Spain.
ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid, Spain.ORCID iD: 0000-0002-7421-3733
2024 (English)In: Computer Communications, ISSN 0140-3664, E-ISSN 1873-703X, Vol. 218, p. 114-130Article in journal (Refereed) Published
Abstract [en]

This paper evaluates the performance of the two ETSI non-area forwarding algorithms in the GeoNetworking specification: Greedy Forwarding and Non-Area Contention-Based Forwarding (CBF). Non-area forwarding occurs when a packet is sent to a geographical Destination Area from a node located outside of this area, e.g., when a vehicle wants to alert of hazardous events to other vehicles located in a distant geographical area. The evaluation has been carried out both in urban and highway scenarios and takes into account the complete ETSI Architecture, including the interaction with the Decentralized Congestion Control (DCC) mechanism. We have also compared ETSI-defined mechanisms with optimizations found in the literature. Our main findings are that Greedy Forwarding, when combined with DCC, is extremely ineffective even with optimizations, and Non-Area CBFs (both ETSI CBF and an optimized version called S-FoT+) outperform Greedy Forwarding both in highway and urban scenarios.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2024. Vol. 218, p. 114-130
Keywords [en]
ETSI Intelligent Transport Systems (ITS), Non-area GeoNetworking, Decentralized Environmental Notification Message (DENM), Cooperative Awareness Message (CAM), Greedy Forwarding, Contention-Based Forwarding (CBF), Duplicate Packet Detection (DPD), Decentralized Congestion Control (DCC)
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hh:diva-52745DOI: 10.1016/j.comcom.2024.02.009ISI: 001200315100001Scopus ID: 2-s2.0-85185397826OAI: oai:DiVA.org:hh-52745DiVA, id: diva2:1840490
Projects
Safety of Connected Intelligent Vehicles in Smart Cities – SafeSmartACHILLES project
Funder
Knowledge FoundationELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Note

Funding: The Swedish Knowledge Foundation (KKS) “Safety of Connected Intelligent Vehicles in Smart Cities – SafeSmart” project (2019–2024), and the ELLIIT Strategic Research Network.This work was partially supported by the Agencia Estatal de Investigación (AEI, Spain) through the ACHILLES project (PID2019-104207RB-I00/AEI/10.13039/501100011033).

Available from: 2024-02-23 Created: 2024-02-23 Last updated: 2024-06-26Bibliographically approved

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Amador Molina, Oscar

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