Pub Date : 2019-11-01DOI: 10.1109/WIEForum47344.2019.8981670
Sayani Sarkar, Michael W. Totaro, Khalid Elgazzar
Low-cost drones are an emerging technological area that open the horizon for intelligent new Internet-of-Things (IoT) and a host of other applications. Cloud-based online processing of unmanned aerial vehicle (UAV) captured data is an attractive and interesting option toward real-time data processing, as it accommodates viewing and analyzing data from a variety of sources, thereby making data accessibility across devices significantly smooth and easier. This results in a more effective and seamless professional collaborations. Cloud-based solutions also make information technology (IT) management easier by automatically installing software updates, storing backups and eliminating the need for high-specification and expensive computers for data processing and storage. The ability to upload more than one just data-set at a time also provides greater flexibility, while security matters are handled using log-in credentials. In the present work, we discuss a comparative study between two data processing approaches: in one case the data captured by an UAV has been processed using an on-board low-cost single-board computer; in the other case, the captured data has been off-loaded to the cloud for further processing. Processing times between these two approaches are compared, statistical analysis applied, in order to confirm the superiority of the cloud-based processing approach. Challenges inherent with cloud-based processing have also been identified, which will be the subject of future research work.
{"title":"Leveraging the Cloud to Achieve Near Real-time Processing for Drone-Generated Data","authors":"Sayani Sarkar, Michael W. Totaro, Khalid Elgazzar","doi":"10.1109/WIEForum47344.2019.8981670","DOIUrl":"https://doi.org/10.1109/WIEForum47344.2019.8981670","url":null,"abstract":"Low-cost drones are an emerging technological area that open the horizon for intelligent new Internet-of-Things (IoT) and a host of other applications. Cloud-based online processing of unmanned aerial vehicle (UAV) captured data is an attractive and interesting option toward real-time data processing, as it accommodates viewing and analyzing data from a variety of sources, thereby making data accessibility across devices significantly smooth and easier. This results in a more effective and seamless professional collaborations. Cloud-based solutions also make information technology (IT) management easier by automatically installing software updates, storing backups and eliminating the need for high-specification and expensive computers for data processing and storage. The ability to upload more than one just data-set at a time also provides greater flexibility, while security matters are handled using log-in credentials. In the present work, we discuss a comparative study between two data processing approaches: in one case the data captured by an UAV has been processed using an on-board low-cost single-board computer; in the other case, the captured data has been off-loaded to the cloud for further processing. Processing times between these two approaches are compared, statistical analysis applied, in order to confirm the superiority of the cloud-based processing approach. Challenges inherent with cloud-based processing have also been identified, which will be the subject of future research work.","PeriodicalId":412628,"journal":{"name":"2019 IEEE Women in Engineering (WIE) Forum USA East","volume":"660 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116182593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：