{"title":"企业规模的隐私感知占用传感","authors":"Surya Sajja, Ashok Pon Kumar, Rohun Tripathi, Satyam Dwivedi, Amith Singhee, M. Vermeulen","doi":"10.1109/EDGE.2018.00022","DOIUrl":null,"url":null,"abstract":"Location based services inside smart buildings are dependent on scalable localization methods. However, for enterprises, privacy of individual employees is a major concern. In this paper, we present a privacy aware occupancy sensing mechanism for large scale enterprises with multiple floors in multiple buildings of multiple cities. This is achieved through Wi-Fi fingerprint based localization methods implemented on edge devices. We present some preliminary results on occupancy sensing from our pilot study inside the office spaces of IBM India.","PeriodicalId":396887,"journal":{"name":"2018 IEEE International Conference on Edge Computing (EDGE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Enterprise Scale Privacy Aware Occupancy Sensing\",\"authors\":\"Surya Sajja, Ashok Pon Kumar, Rohun Tripathi, Satyam Dwivedi, Amith Singhee, M. Vermeulen\",\"doi\":\"10.1109/EDGE.2018.00022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Location based services inside smart buildings are dependent on scalable localization methods. However, for enterprises, privacy of individual employees is a major concern. In this paper, we present a privacy aware occupancy sensing mechanism for large scale enterprises with multiple floors in multiple buildings of multiple cities. This is achieved through Wi-Fi fingerprint based localization methods implemented on edge devices. We present some preliminary results on occupancy sensing from our pilot study inside the office spaces of IBM India.\",\"PeriodicalId\":396887,\"journal\":{\"name\":\"2018 IEEE International Conference on Edge Computing (EDGE)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Edge Computing (EDGE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDGE.2018.00022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Edge Computing (EDGE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDGE.2018.00022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Location based services inside smart buildings are dependent on scalable localization methods. However, for enterprises, privacy of individual employees is a major concern. In this paper, we present a privacy aware occupancy sensing mechanism for large scale enterprises with multiple floors in multiple buildings of multiple cities. This is achieved through Wi-Fi fingerprint based localization methods implemented on edge devices. We present some preliminary results on occupancy sensing from our pilot study inside the office spaces of IBM India.
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