{"title":"RSSI Based Real-Time and Secure Smart Parking Management System","authors":"Thilina Weliwita, H. Ekanayake","doi":"10.1109/GCAIoT51063.2020.9345877","DOIUrl":null,"url":null,"abstract":"Discovering an available parking space in an unsupervised parking area is one of the critical issues that vehicle owners face which consumes a considerable time and effort. In this paper, a Received Signal Strength Indicator (RSSI) based approach is proposed for detecting available parking spaces. The Non-Linear Least Square method has been used to minimize the effects from external interferences. Further, itemploys a lightweight and scalable Message Queuing Telemetry Transport (MQTT) communication protocol. The proposed method does not require sensors to be deployed on each parking slot, which is more frequently used technique in the existing approaches, and it can provide a real-time representation of available parking slots. Moreover, the vehicle owners can discover available parking spaces remotely using the developed mobile application; thus, it saves a significant amount of time. Therefore, it exhibits a great promise as a real-time, cost effective, highly scalable and secure solution.","PeriodicalId":398815,"journal":{"name":"2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCAIoT51063.2020.9345877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Discovering an available parking space in an unsupervised parking area is one of the critical issues that vehicle owners face which consumes a considerable time and effort. In this paper, a Received Signal Strength Indicator (RSSI) based approach is proposed for detecting available parking spaces. The Non-Linear Least Square method has been used to minimize the effects from external interferences. Further, itemploys a lightweight and scalable Message Queuing Telemetry Transport (MQTT) communication protocol. The proposed method does not require sensors to be deployed on each parking slot, which is more frequently used technique in the existing approaches, and it can provide a real-time representation of available parking slots. Moreover, the vehicle owners can discover available parking spaces remotely using the developed mobile application; thus, it saves a significant amount of time. Therefore, it exhibits a great promise as a real-time, cost effective, highly scalable and secure solution.