Artificial Intelligence-Empowered Optimal Roadside Unit (RSU) Deployment Mechanism for Internet of Vehicles (IoV)

Author:

Ghosh Debjani1,Katehara Hardik1,Rawlley Oshin1,Gupta Shashank1,Arulselvan Naveen2,Chamola Vinay3

Affiliation:

1. Birla Institute of Technology and Science,Department of Computer Science & Information Systems,Pilani,Rajasthan,India

2. Birla Institute of Technology and Science,Department of Electrical and Electronics Engineering,Pilani,Rajasthan,India

3. ARTPARK,Bengaluru,India

Publisher

IEEE

Reference13 articles.

1. Genetic Algorithms—Principles and Perspectives

2. On evolution, search, optimization, genetic algorithms and martial arts: Towards memetic algorithms;moscato;Caltech Concurrent Computation Program C3P Report,1989

3. Machine-Learning-Based Efficient and Secure RSU Placement Mechanism for Software-Defined-IoV

4. Joint Roadside Unit Deployment and Service Task Assignment for Internet of Vehicles (IoV)

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1. A multi-objective Roadside Units deployment strategy based on reliable coverage analysis in Internet of Vehicles;Ad Hoc Networks;2024-11

2. A spectral clustering-based deployment strategy for roadside units in vehicular edge computing environments;Ad Hoc Networks;2024-05

3. Optimized Deployment Strategy for Roadside Units Based on Accident Risk Assessment and Simulation Validation;IEEE Access;2024

4. Edge Server Deployment Approach Based on Uniformity and Centrality;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024

5. Analysis of Highway Routing Protocols for VANETS;2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2022-12-23

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