Mahdi Inaya, Michael Meli, Dimitrios Sikeridis, M. Devetsikiotis
{"title":"A real-subject evaluation trial for location-aware smart buildings","authors":"Mahdi Inaya, Michael Meli, Dimitrios Sikeridis, M. Devetsikiotis","doi":"10.1109/INFCOMW.2017.8116393","DOIUrl":null,"url":null,"abstract":"The increasing demand for smarter yet more efficient indoor spaces necessitates moving towards advanced technologies, such as Internet of Things architectures, to allow further integration to our physical world. In this work, we introduce a Bluetooth Low Energy-based infrastructure for location-aware buildings, along with a full-scale real-subject trial. The trial was undertaken with students in our engineering building at NC State, under IRB approval. Our focus is on showing a proof-of-concept of deploying location-aware infrastructure through experimentally collecting data able to facilitate building management and user localization. We examine a multi-floor environment installation and analytically prove how viable and economic our solution is to equip future intelligent facilities.","PeriodicalId":306731,"journal":{"name":"2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2017.8116393","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
The increasing demand for smarter yet more efficient indoor spaces necessitates moving towards advanced technologies, such as Internet of Things architectures, to allow further integration to our physical world. In this work, we introduce a Bluetooth Low Energy-based infrastructure for location-aware buildings, along with a full-scale real-subject trial. The trial was undertaken with students in our engineering building at NC State, under IRB approval. Our focus is on showing a proof-of-concept of deploying location-aware infrastructure through experimentally collecting data able to facilitate building management and user localization. We examine a multi-floor environment installation and analytically prove how viable and economic our solution is to equip future intelligent facilities.