Intelligent Transportation Systems in the Context of 5G-Beyond and 6G Networks

Kilanioti, Irene; Rizzo, Gianluca; Masini, Barbara M.; Bazzi, Alessandro; Osorio, Diana Pamela Moya; Linsalata, Francesco; Magarini, Maurizio; Löschenbrand, David; Zemen, Thomas; Kliks, Adrian

doi:10.1109/cscn57023.2022.10050942

Cited by 6 publications

(2 citation statements)

References 38 publications

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“…The 5G-V2X has wider coverage, low latency, high reliability, etc., and can obtain timely and accurate access to all kinds of road status information, real-time interaction, more secure and reliable to complete the driving task [1] . As a key technology for the future of the automotive application industry, many standardization organizations allocate 5.9 GHz dedicated frequency band as the working frequency band for V2X, to meet the future vehicle network environment of diverse communication needs [2] . Due to the diversity of communication objects and rich application scenarios, there are many security risks such as identity forgery, unencrypted transmission, session hijacking, etc., easy to cause communication data leakage, interference auto-driving judgment, thus causing traffic accidents [3] .…”

Section: Introductionmentioning

confidence: 99%

A beam scanning array for enhancing V2X security

Liu,

2023

Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023)

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A new kind of Rotman lens array which used for security enhancement of V2X communication was proposed in this paper, this new kind of array is realized by adding circular gaps on the original designed lens, the return loss was effectively reduced, achieving good results. To validate the performance of this new array, a 3D model was constructed and simulated with CST, the simulation results show the good performance of the array, the simulated beam scanning range is from -30 to 30, and the gain is up to 8dBi.

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Section: Introductionmentioning

confidence: 99%

A beam scanning array for enhancing V2X security

Liu,

2023

Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023)

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“…The content exchanged among vehicles and between vehicles and fixed infrastructure is delay-constrained, and often critical for traffic management and the safety of driver and passengers. Practical applications of Intelligent Transportation Systems (ITS) with VANETs include also solutions for environment monitoring, infotainment and healthcare of passengers [4]. Ad hoc network study may lead to improved road safety, because efficient content delivery and in-time driver update can lead to avoidance of accidents.…”

Section: Introductionmentioning

confidence: 99%

Content Caching and Distribution Policies for Vehicular Ad-Hoc Networks (VANETs): Modeling and Simulation

Kilanioti,

Astrinakis,

Papavassiliou

2023

Electronics

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The paper studies the application of various content distribution policies for vehicular ad hoc networks (VANETs) and compares their effectiveness under various simulation scenarios. Our implementation augments the existing Veins tool, an open source framework for vehicular network simulations based on the discrete event simulator OMNET++ and SUMO, a tool that simulates traffic on road networks. The proposed solution integrates various additional features into the pre-existing Veins realizations and expands them to include the modeling and implementation of proposed caching and content distribution policies and the measurement of respective metrics. Moreover, we integrate machine learning algorithms for distribution policies into the simulation framework in order to efficiently study distribution of content to the network nodes. These algorithms are pre-trained neural network models adapted for VANETs. Using these new functions, we can specify the simulation parameters, run a plethora of experiments and proceed to evaluate metrics and policies for content distribution.

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