{"title":"带上你自己的传感器:使用你的安卓智能手机作为传感平台","authors":"Gilles Callebaut, Geoffrey Ottoy, L. D. Strycker","doi":"10.1109/SAS.2019.8705987","DOIUrl":null,"url":null,"abstract":"Various distributed sensing applications are being deployed in the context of crowd-sensing. These applications often require that sensors are mutually synchronized. However, when synchronization is required in a setting where volunteers bring their own mobile device, to contribute to a measurement campaign, several issues arise. This paper analyses and evaluates the Android mobile platform for applications which require collaborative continuous sensing. These applications rely on time synchronized devices to sample sensors at a high data rate and without discontinuities. We show that it is feasible to synchronize smartphones without limiting the system’s scalability, or introducing additional power consumption. Furthermore, the challenges related to continuous sensing in Android for crowd- sensing applications are identified.","PeriodicalId":360234,"journal":{"name":"2019 IEEE Sensors Applications Symposium (SAS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Bring your own Sensor: Use your Android Smartphone as a Sensing Platform\",\"authors\":\"Gilles Callebaut, Geoffrey Ottoy, L. D. Strycker\",\"doi\":\"10.1109/SAS.2019.8705987\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Various distributed sensing applications are being deployed in the context of crowd-sensing. These applications often require that sensors are mutually synchronized. However, when synchronization is required in a setting where volunteers bring their own mobile device, to contribute to a measurement campaign, several issues arise. This paper analyses and evaluates the Android mobile platform for applications which require collaborative continuous sensing. These applications rely on time synchronized devices to sample sensors at a high data rate and without discontinuities. We show that it is feasible to synchronize smartphones without limiting the system’s scalability, or introducing additional power consumption. Furthermore, the challenges related to continuous sensing in Android for crowd- sensing applications are identified.\",\"PeriodicalId\":360234,\"journal\":{\"name\":\"2019 IEEE Sensors Applications Symposium (SAS)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE Sensors Applications Symposium (SAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAS.2019.8705987\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS.2019.8705987","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Bring your own Sensor: Use your Android Smartphone as a Sensing Platform
Various distributed sensing applications are being deployed in the context of crowd-sensing. These applications often require that sensors are mutually synchronized. However, when synchronization is required in a setting where volunteers bring their own mobile device, to contribute to a measurement campaign, several issues arise. This paper analyses and evaluates the Android mobile platform for applications which require collaborative continuous sensing. These applications rely on time synchronized devices to sample sensors at a high data rate and without discontinuities. We show that it is feasible to synchronize smartphones without limiting the system’s scalability, or introducing additional power consumption. Furthermore, the challenges related to continuous sensing in Android for crowd- sensing applications are identified.