A Survey of VANET/V2X Routing From the Perspective of Non-Learning- and Learning-Based Approaches

Author:

Chatterjee Twinkle1,Karmakar Raja2ORCID,Kaddoum Georges2ORCID,Chattopadhyay Samiran3ORCID,Chakraborty Sandip4

Affiliation:

1. Department of Information Technology, Techno International New Town, Kolkata, India

2. Department of Electrical Engineering, ETS, University of Quebec, Montreal, QC, Canada

3. Department of Information Technology, Jadavpur University, Kolkata, India

4. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

Funder

Canada Research Chair Program Tier-II entitled “Towards a Novel and Intelligent Framework for the Next Generations of IoT Networks.”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

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1. Performance Evaluation of Intrusion Detection System Using Gradient Boost;Lecture Notes in Networks and Systems;2024

2. Performance Analysis of Node Classification to Secure Intelligent Transportation System in VANET;Intelligent Systems for Smart Cities;2024

3. Traffic Control, Congestion Management and Smart Parking through VANET, ML, and IoT: A Review;2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM);2023-10-26

4. Efficacious Routing Approaches in Vehicular Ad hoc Network: An Empirical Study;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19

5. IDS-XGbFS: a smart intrusion detection system using XGboostwith recent feature selection for VANET safety;Cluster Computing;2023-10-14

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