J. Alonso, Carlos Bayona, Omar Rojas, Marco Terán, Juan Aranda, Henry Carrillo, Carlos Parra
{"title":"IoT Solution for Data Sensing in a Smart Campus using Smartphone Sensors","authors":"J. Alonso, Carlos Bayona, Omar Rojas, Marco Terán, Juan Aranda, Henry Carrillo, Carlos Parra","doi":"10.1109/COLCOMCON.2018.8466707","DOIUrl":null,"url":null,"abstract":"This paper explores the Android Operative System (OS) as a medium to manage and operate different sensors embedded within smartphones, which are commonly used in participatory sensing oriented applications such as traffic navigation in cities and mobility in Smart Campus. Several operations are tested to determine the possible uses of the Android OS in an Internet of Things (IoT)’ architecture, where participative sensing is being done. In this architecture, the transmission of data is essential for analysis and visualization in a cloud platform. Hence, different types of protocols exist for the above-mentioned such as HTTPS, AMQP, and MQTT. Additionally, this paper presents the design and implementation of a participatory sensing IoT based system solution for Smart Campus applications. Our solution employs smartphone sensors, as sensors embedded into IoT devices, and the Android API to extract the data from them (e.g., GPS data). The data sensing is stored in a local database and then, transferred via HTTPS to Ubidots (a cloud platform) for further analysis and visualization.","PeriodicalId":151973,"journal":{"name":"2018 IEEE Colombian Conference on Communications and Computing (COLCOM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Colombian Conference on Communications and Computing (COLCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COLCOMCON.2018.8466707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper explores the Android Operative System (OS) as a medium to manage and operate different sensors embedded within smartphones, which are commonly used in participatory sensing oriented applications such as traffic navigation in cities and mobility in Smart Campus. Several operations are tested to determine the possible uses of the Android OS in an Internet of Things (IoT)’ architecture, where participative sensing is being done. In this architecture, the transmission of data is essential for analysis and visualization in a cloud platform. Hence, different types of protocols exist for the above-mentioned such as HTTPS, AMQP, and MQTT. Additionally, this paper presents the design and implementation of a participatory sensing IoT based system solution for Smart Campus applications. Our solution employs smartphone sensors, as sensors embedded into IoT devices, and the Android API to extract the data from them (e.g., GPS data). The data sensing is stored in a local database and then, transferred via HTTPS to Ubidots (a cloud platform) for further analysis and visualization.