S. Thiru, Hina Hashmi, S. Hemavathi, Daxa Vekariya, Arvind Kumar Pandey, Wael M. F. Abdel-Rehim
{"title":"Vehicular Cloud Data Collection for Intelligent Transportation Systems","authors":"S. Thiru, Hina Hashmi, S. Hemavathi, Daxa Vekariya, Arvind Kumar Pandey, Wael M. F. Abdel-Rehim","doi":"10.1109/ICERECT56837.2022.10060170","DOIUrl":null,"url":null,"abstract":"Millions many sensors will be connected to the Internet via the Networks of Things (IoT), enabling new mobile cloud technologies and products. With the introduction of IoT, future Internet of Vehicle (IoV) will replace the present Auto Informal Services (Van - to - Driver), where customers may place orders for various services by integrating their cars, sensors, and tablets to a huge network. Vehicular Cloud Computing (VCC) is merely being imagined with the goal of supplying traffic services that enhance our daily traveling in order to provide Routes with broadband service. These plans include resources and support the expansion of the Internet of Things (IoT), which is a crucial component of IoV. The utilization of Vehicular Cloud (VC), however, is necessary for ITS (Intelligent Transportation System) to properly support a top travel service (VC). In order to acquire data for the benefit of ITS, we integrate the novel VCC technique in this study. We show via modeling results that a flexible VC may provide useful data collection with just a small percentage of autos involved.","PeriodicalId":205485,"journal":{"name":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICERECT56837.2022.10060170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Millions many sensors will be connected to the Internet via the Networks of Things (IoT), enabling new mobile cloud technologies and products. With the introduction of IoT, future Internet of Vehicle (IoV) will replace the present Auto Informal Services (Van - to - Driver), where customers may place orders for various services by integrating their cars, sensors, and tablets to a huge network. Vehicular Cloud Computing (VCC) is merely being imagined with the goal of supplying traffic services that enhance our daily traveling in order to provide Routes with broadband service. These plans include resources and support the expansion of the Internet of Things (IoT), which is a crucial component of IoV. The utilization of Vehicular Cloud (VC), however, is necessary for ITS (Intelligent Transportation System) to properly support a top travel service (VC). In order to acquire data for the benefit of ITS, we integrate the novel VCC technique in this study. We show via modeling results that a flexible VC may provide useful data collection with just a small percentage of autos involved.