CFEA-IoV: An SDN-Enabled IoV Architecture for Time-Critical Accident Notification in Automated Vehicles

Created by W.Langdon from gp-bibliography.bib Revision:1.8344

@Article{Sedaghat:TIV,

• author = "Shahrzad Sedaghat and Mauro Conti",
• title = "{CFEA-IoV:} An {SDN-Enabled} {IoV} Architecture for Time-Critical Accident Notification in Automated Vehicles",
• journal = "IEEE Transactions on Intelligent Vehicles",
• note = "Early Access",
• keywords = "genetic algorithms, genetic programming, Intelligent vehicles, Internet of Vehicle (IoV), Cloud- Fog, Accident notification, Reliability, SDN- Scheduling algorithm",
• ISSN = "2379-8904",
• DOI = "doi:10.1109/TIV.2024.3418307",
• abstract = "This paper proposes a novel Internet of Vehicles architecture, CFEA-IoV, designed to enhance accident notification using the IoV platform. Capitalizing on the advancements in software-defined networks, cloud computing, and fog computing, CFEA-IoV prioritizes reliability and timeliness in emergency response scenarios. It achieves this by leveraging SDN's global knowledge and programmability with cloud-based architecture, coupled with the low-latency services offered by fog computing. A key contribution of CFEA-IoV is a multisession genetic programming-based scheduling method for efficient packet routing. This method considers multiple factors, including multi-topology routing with high connectivity, route selection based on graph partition factors, reliability coefficients, and resource availability for packet forwarding. The effectiveness of CFEA-IoV is evaluated through simulations using the NS-3 tool, Crash Report Sampling System dataset, and Simulation of Urban Mobility to ensure realistic conditions and reliable outcomes. The results demonstrate the efficiency of the proposed solution, potentially leading to faster emergency response times and improved life-saving capabilities.",
• notes = "Also known as \cite{10568573}",

}

Genetic Programming entries for Shahrzad Sedaghat Mauro Conti

Citations