SafeTRIP – Interactive Satellite Services for Automotive Applications and Road Safety

Niemann, Bernhard; Heyn, Thomas; Vargas, Aharon; Titomanlio, Sabino; Grau, Guillermo; Beeharee, Ashweeni

doi:10.1007/978-3-642-23071-4_14

Cited by 1 publication

(2 citation statements)

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“…Satellite augmentation can be used to improve the GPS system's performance or it be used for the V2V communication [166]. Other applications of satellite are reported as sensor data exchange, control center communication, vehicle tracking, real-time communication, safety related information exchange and so on [167]. SafeTRIP is one of the successful projects where satellite radio was used for VANET communication [167].…”

Section: G: Satellite Communications For Vanetmentioning

confidence: 99%

“…Other applications of satellite are reported as sensor data exchange, control center communication, vehicle tracking, real-time communication, safety related information exchange and so on [167]. SafeTRIP is one of the successful projects where satellite radio was used for VANET communication [167]. Satellite radio has higher bandwidth (90 MHz), wide coverage range, and higher scalability, but it faces severe delay and large antenna size requirements.…”

Section: G: Satellite Communications For Vanetmentioning

confidence: 99%

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Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks

et al. 2020

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Nowadays, machine learning (ML), which is one of the most rapidly growing technical tools, is extensively used to solve critical challenges in various domains. Vehicular ad hoc network (VANET) is expected to be the key role player in reducing road casualties and traffic congestion. To ensure this role, a gigantic amount of data should be exchanged. However, current allocated wireless access for VANET is inadequate to handle such massive data amounts. Therefore, VANET faces a spectrum scarcity issue. Cognitive radio (CR) is a promising solution to overcome such an issue. CR-based VANET or CR-VANET must achieve several performance enhancement measures, including ultra-reliable and lowlatency communication. ML methods can be integrated with CR-VANET to make CR-VANET highly intelligent, achieve rapid adaptability to the dynamicity of the environment, and improve the quality of service in an energy-efficient manner. This paper presents an overview of ML, CR, VANET, and CR-VANET, including their architectures, functions, challenges, and open issues. The applications and roles of ML methods in CR-VANET scenarios are reviewed. Insights into the use of ML for autonomous or driverless vehicles are also presented. Current advancements in the amalgamation of these prominent technologies and future research directions are discussed. INDEX TERMS Machine learning, VANET, cognitive radio, autonomous vehicles, smart transportation system. performance of CR-VANET [15]. Security enhancement is one of the major issues in CR-VANET. Here, a vehicle can pretend to be a PU and propagate false information to obtain spectrum access selfishly. ML can be used to detect such actions and enhance security [16], [17]. ML also provides an optimum route to CR-VANET users to avoid traffic jams and road accidents. ML can also play a vital role in the best infotainment experience in CR-VANET. It can be used for appropriate scheduling, selecting the best channel, and prioritizing messages. CR and ML can play a major role in the next-generation driverless car system. The role of CR in the next-generation transportation system has been presented in previous discussions. This survey shows how ML can be applied to reduce road accidents and traffic congestion. CR can be used to accommodate the spectrum required to support massive data communication among automated driverless vehicles and networks. ML can be an integral part of this driverless or automated vehicle system. Similar to a robot, an autonomous vehicle (AV) can learn the surrounding environment and communicate with increased safety, reliability, QoS, and energy efficiency by applying such learning. This paper presents the dynamic usages of ML in CR-VANET elaborately. Several of the benefits of CR in VANETs and ML in VANETs and CR-VANETs are presented in Table 1. B. CONTRIBUTIONS OF THIS SURVEY ARTICLE Many survey articles describe CR, VANET, ML, and CR-VANETs individually or describe a few aspects of their amalgamation. To the best of our knowledge, surveys that cover the usage of ML in CR-VANET...

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Section: G: Satellite Communications For Vanetmentioning

confidence: 99%

Section: G: Satellite Communications For Vanetmentioning

confidence: 99%