Activity-Tracking Service for Building Operating Systems

Jakob Hviid; Mikkel Baun Kjærgaard

doi:10.1109/PERCOMW.2018.8480362

Activity-Tracking Service for Building Operating Systems

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Many high consuming electricity loads in retail stores are currently highly intertwined in human activities. Without knowledge of such activities, it is difficult to improve the energy efficiency of the loads operation for sustainability and cost reasons. The increasing availability of Internet of Things sensors and devices promise to deliver rich data about human activities and control of loads. However, existing proposals for building operating systems that should combine such data and control opportunities do not provide concepts and support for activity data. In this paper, we propose an activity-tracking service for building operating systems. The service is designed to consider the security, privacy, integration, extendability and scalability challenges in the building setting. We provide initial findings for testing the system in a proof of concept evaluation using a set of common Internet of Things sensors and devices.

Original language	English
Title of host publication	2018 IEEE International Conference on Pervasive Computing and Communications Workshops : PerCom Workshops
Place of Publication	Athens, Greece
Publisher	IEEE Press
Publication date	2. Oct 2018
Pages	854-859
ISBN (Print)	978-1-5386-3228-4
ISBN (Electronic)	978-1-5386-3227-7
DOIs	https://doi.org/10.1109/PERCOMW.2018.8480362
Publication status	Published - 2. Oct 2018
Event	2018 International Workshop on Pervasive Flow of Things: Co-located with IEEEE PerCom 2018 - Duration: 23. Mar 2018 → 23. Mar 2018

Conference

Conference	2018 International Workshop on Pervasive Flow of Things
Period	23/03/2018 → 23/03/2018

Documents & Links

10.1109/PERCOMW.2018.8480362

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title = "Activity-Tracking Service for Building Operating Systems",

abstract = "Many high consuming electricity loads in retail stores are currently highly intertwined in human activities. Without knowledge of such activities, it is difficult to improve the energy efficiency of the loads operation for sustainability and cost reasons. The increasing availability of Internet of Things sensors and devices promise to deliver rich data about human activities and control of loads. However, existing proposals for building operating systems that should combine such data and control opportunities do not provide concepts and support for activity data. In this paper, we propose an activity-tracking service for building operating systems. The service is designed to consider the security, privacy, integration, extendability and scalability challenges in the building setting. We provide initial findings for testing the system in a proof of concept evaluation using a set of common Internet of Things sensors and devices.",

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AB - Many high consuming electricity loads in retail stores are currently highly intertwined in human activities. Without knowledge of such activities, it is difficult to improve the energy efficiency of the loads operation for sustainability and cost reasons. The increasing availability of Internet of Things sensors and devices promise to deliver rich data about human activities and control of loads. However, existing proposals for building operating systems that should combine such data and control opportunities do not provide concepts and support for activity data. In this paper, we propose an activity-tracking service for building operating systems. The service is designed to consider the security, privacy, integration, extendability and scalability challenges in the building setting. We provide initial findings for testing the system in a proof of concept evaluation using a set of common Internet of Things sensors and devices.

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DO - 10.1109/PERCOMW.2018.8480362

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