Correlation Analysis for the Prediction of QoS in V2V Networks
Pages 93 - 100
Abstract
Vehicle-to-Vehicle (V2V) communication is an essential component of the Intelligent Transportation System (ITS), which enables realtime traffic data sharing and collective awareness among vehicles and promotes a safer, more effective, and environmentally friendly road traffic environment. One of the main prerequisites for a robust and reliable V2V application minimizing crashes, easing traffic, and reducing traffic congestion is an error-free prediction of the underlying communication performance. In this paper, we delve into the predictive Quality of Service (pQoS) for V2V communication specifically for IEEE 802.11p networks. We establish the correlations between main Key Performance Indicators (KPIs) affecting the V2V communication quality as well as provide recommendations on how these correlations can be used to develop a robust Quality of Service (QoS) prediction algorithm for forecasting and optimizing the V2V performance.
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Index Terms
- Correlation Analysis for the Prediction of QoS in V2V Networks
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Published In
October 2023
129 pages
ISBN:9798400703690
DOI:10.1145/3616392
- General Chair:
- Rodolfo Coutinho,
- Program Chair:
- Maram Bani Younes
Copyright © 2023 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 30 October 2023
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- EU Horizon 2020 ITN-5VC
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MSWiM '23
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MSWiM '23: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems
October 30 - November 3, 2023
Quebec, Montreal, Canada
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