{"title":"Internet of autonomous vehicles communication infrastructure: A short review","authors":"Mustafa Haitham Alhabib, Qutaiba Ibrahim Ali","doi":"10.29354/diag/168310","DOIUrl":null,"url":null,"abstract":"Recent years have witnessed increased attention towards vehicular communications as a part of an overall modernization trend towards the emergence of a reliable, less human-dependent, and more efficient Intelligent Transportation System (ITS) conjugated with the rapid growth of smart cities. ITS imposes better safety and security through the employment of Autonomous Vehicles (AV) to reduce the possibility of accidents caused due to human intervention. The application of autonomous vehicles to the traditional Vehicular Ad-hoc Networks (VANET) has paved the way for the development of a newer networking paradigm called the Internet of Autonomous Vehicles (IoAV). IoAV enjoys several advantages over VANET in terms of robustness, security, and scalability. However, due to the gradual transition from existing vehicles to autonomous ones, both types may be going to coexist together in the same environment. Therefore, a reliable, fast responsive, and flexible infrastructure is necessary to serve both kinds in such a hybrid setting until the transition to all AV is completed. In this context, this paper represents a concise review of the architecture of IoAV infrastructure, its communication modules, message dissemination, protocols and services that comprise the main body of the IoAV framework, in addition to further remarks and research challenges.","PeriodicalId":52164,"journal":{"name":"Diagnostyka","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diagnostyka","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29354/diag/168310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 0
Abstract
Recent years have witnessed increased attention towards vehicular communications as a part of an overall modernization trend towards the emergence of a reliable, less human-dependent, and more efficient Intelligent Transportation System (ITS) conjugated with the rapid growth of smart cities. ITS imposes better safety and security through the employment of Autonomous Vehicles (AV) to reduce the possibility of accidents caused due to human intervention. The application of autonomous vehicles to the traditional Vehicular Ad-hoc Networks (VANET) has paved the way for the development of a newer networking paradigm called the Internet of Autonomous Vehicles (IoAV). IoAV enjoys several advantages over VANET in terms of robustness, security, and scalability. However, due to the gradual transition from existing vehicles to autonomous ones, both types may be going to coexist together in the same environment. Therefore, a reliable, fast responsive, and flexible infrastructure is necessary to serve both kinds in such a hybrid setting until the transition to all AV is completed. In this context, this paper represents a concise review of the architecture of IoAV infrastructure, its communication modules, message dissemination, protocols and services that comprise the main body of the IoAV framework, in addition to further remarks and research challenges.
期刊介绍:
Diagnostyka – is a quarterly published by the Polish Society of Technical Diagnostics (PSTD). The journal “Diagnostyka” was established by the decision of the Presidium of Main Board of the Polish Society of Technical Diagnostics on August, 21st 2000 and replaced published since 1990 reference book of the PSTD named “Diagnosta”. In the years 2000-2003 there were issued annually two numbers of the journal, since 2004 “Diagnostyka” is issued as a quarterly. Research areas covered include: -theory of the technical diagnostics, -experimental diagnostic research of processes, objects and systems, -analytical, symptom and simulation models of technical objects, -algorithms, methods and devices for diagnosing, prognosis and genesis of condition of technical objects, -methods for detection, localization and identification of damages of technical objects, -artificial intelligence in diagnostics, neural nets, fuzzy systems, genetic algorithms, expert systems, -application of technical diagnostics, -diagnostic issues in mechanical and civil engineering, -medical and biological diagnostics with signal processing application, -structural health monitoring, -machines, -noise and vibration, -analysis of technical and civil systems.