{"title":"Smart Parking Utilizing IoT Embedding Fog Computing Based on Smart Parking Architecture","authors":"Amir Man Singh Maharjan, A. Elchouemi","doi":"10.1109/CITISIA50690.2020.9371848","DOIUrl":null,"url":null,"abstract":"Rapid population growth and skyrocketing demand of private transportation bloom the market of automakers worldwide. The concept of automated parking system under smart city arises with the availability of the technology like fast internet connections, offloading computational resources, IoT devices communicating various devices each other, to uplift the quality of life. Revolution of cloud computing and ease of this technology also open the door for better opportunities for smart parking where a system can be served from the remote area, but there is an issue with cloud computing for cost of operation and latency of the services. In urban cities there is rapid growth of population and there is advancement of automotive industries, there are lots of vehicles that are being used in all the cities which creates a lot of issues like road congestions, issue in parking spaces. This paper proposes the fog computing architecture to reduce the latency and efficiently utilise all the available technologies together by building fog computing architecture network which is a multi-tier structure where applications runs jointly, communicates and compute with each other. Smart parking has gain massive attention due to ease and outcome from those technologies are exponential. The role of Internet of Things and fog computing enable the platform to minimize the take duration for finding the parking space, this reduces the time and excess use of fuel and emission of CO2, these are the consequence of over and unmanaged vehicles in the urban areas and unmanaged parking areas.","PeriodicalId":145272,"journal":{"name":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications (CITISIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CITISIA50690.2020.9371848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Rapid population growth and skyrocketing demand of private transportation bloom the market of automakers worldwide. The concept of automated parking system under smart city arises with the availability of the technology like fast internet connections, offloading computational resources, IoT devices communicating various devices each other, to uplift the quality of life. Revolution of cloud computing and ease of this technology also open the door for better opportunities for smart parking where a system can be served from the remote area, but there is an issue with cloud computing for cost of operation and latency of the services. In urban cities there is rapid growth of population and there is advancement of automotive industries, there are lots of vehicles that are being used in all the cities which creates a lot of issues like road congestions, issue in parking spaces. This paper proposes the fog computing architecture to reduce the latency and efficiently utilise all the available technologies together by building fog computing architecture network which is a multi-tier structure where applications runs jointly, communicates and compute with each other. Smart parking has gain massive attention due to ease and outcome from those technologies are exponential. The role of Internet of Things and fog computing enable the platform to minimize the take duration for finding the parking space, this reduces the time and excess use of fuel and emission of CO2, these are the consequence of over and unmanaged vehicles in the urban areas and unmanaged parking areas.