Cyber Security Risk Analysis for Intelligent Transport Systems and In‐vehicle Networks

Ruddle, Alastair R.; Ward, David

doi:10.1002/9781118894774.ch5

Cited by 5 publications

(1 citation statement)

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“…One of the most important enabling technologies, vehicular cyberphysical systems (VCPSs), was proposed to take advantage of the latest advances in sensing, computing, communications, and networking technologies to improve the safety, efficiency, and environmental compatibility of transportation systems . One key issue in this field is how to design a real‐time simulator that can reflect not only mobile vehicle features (speed) but also the effect of a specific driving environment …”

Section: Introductionmentioning

confidence: 99%

Exploring LTE‐V link‐level performance under V‐CPS by geometry enhanced winner II channel model

Gong

Wang

Yu-peng

et al. 2018

Trans Emerging Tel Tech

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The reliable and efficient simulation of a Long‐Term Evolution‐vehicle requires a channel model that considers practical features of vehicle ad hoc networks, such as large‐scale and small‐scale fading effects from static and mobile objects. However, existing vehicle‐to‐vehicle (V2V) channel models seldom consider vehicle ad hoc networks. In this paper, we propose a geometry‐enhanced WINNER II V2V channel model, which simulates channel responses among vehicles in arbitrary locations with detailed geographical information (eg, placement of buildings). After exploiting the outlines of vehicles and buildings, line‐of‐sight/nonline‐of‐sight links are evaluated. In addition, multiple‐interaction reflections and diffractions are calculated. Then, signal variations and multilink time delays are generated. Therefore, it reflects practical communication conditions, are more reliable than existing Long‐Term Evolution V2V channel models. The model is applied to our developed link‐level simulator, which conforms to the Third‐Generation Partnership Project Release 14, and is compared with two other common channel models. Results validate the importance of the surrounding geometry compared with models with simple large‐scale and small‐scale propagation paths.

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Section: Introductionmentioning

confidence: 99%