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Creating a room connectivity graph of a building from per-room sensor units

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Creating a room connectivity graph of a building from per-room sensor units. / Ellis, Carl; Scott, James; Constandache , Ionut et al.
BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings. New York: ACM, 2012. p. 177-183.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Ellis, C, Scott, J, Constandache , I & Hazas, M 2012, Creating a room connectivity graph of a building from per-room sensor units. in BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings. ACM, New York, pp. 177-183. https://doi.org/10.1145/2422531.2422563

APA

Ellis, C., Scott, J., Constandache , I., & Hazas, M. (2012). Creating a room connectivity graph of a building from per-room sensor units. In BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings (pp. 177-183). ACM. https://doi.org/10.1145/2422531.2422563

Vancouver

Ellis C, Scott J, Constandache I, Hazas M. Creating a room connectivity graph of a building from per-room sensor units. In BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings. New York: ACM. 2012. p. 177-183 doi: 10.1145/2422531.2422563

Author

Ellis, Carl ; Scott, James ; Constandache , Ionut et al. / Creating a room connectivity graph of a building from per-room sensor units. BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings. New York : ACM, 2012. pp. 177-183

Bibtex

@inproceedings{0cecc8e164444b6aa2a1e212ab6aa234,
title = "Creating a room connectivity graph of a building from per-room sensor units",
abstract = "Sensor and actuator networks are often installed in buildings for energy-related applications such as lighting and climate control. Such systems require metadata about the deployed hardware (e.g. which room each is in, what the function of each room is) in order to operate effectively. In this paper we present methods to automatically determine such metadata, in particular the room connectivity graph (i.e., which rooms share a doorway/interior window). Crucially, our method works with just one sensor unit per room, does not require special placement of any of the sensors, and can therefore work on data from existing widely-deployed applications (such as burglar alarms). We apply this method to a 30-day data set from single per-room sensor units deployed in two residential homes in the United Kingdom. Room connectivity is determined based on: spillover of artificial light between rooms; occupancy detections due to movement between rooms; and a fusion of the two. The fusion of both techniques is shown to work better than either technique alone, with a 93% true positive rate and 0.5% false positive rate (aggregate across both houses), and a convergence time of under a week.",
author = "Carl Ellis and James Scott and Ionut Constandache and Michael Hazas",
year = "2012",
month = nov,
doi = "10.1145/2422531.2422563",
language = "English",
isbn = "978-1-4503-1170-0 ",
pages = "177--183",
booktitle = "BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings",
publisher = "ACM",

}

RIS

TY - GEN

T1 - Creating a room connectivity graph of a building from per-room sensor units

AU - Ellis, Carl

AU - Scott, James

AU - Constandache , Ionut

AU - Hazas, Michael

PY - 2012/11

Y1 - 2012/11

N2 - Sensor and actuator networks are often installed in buildings for energy-related applications such as lighting and climate control. Such systems require metadata about the deployed hardware (e.g. which room each is in, what the function of each room is) in order to operate effectively. In this paper we present methods to automatically determine such metadata, in particular the room connectivity graph (i.e., which rooms share a doorway/interior window). Crucially, our method works with just one sensor unit per room, does not require special placement of any of the sensors, and can therefore work on data from existing widely-deployed applications (such as burglar alarms). We apply this method to a 30-day data set from single per-room sensor units deployed in two residential homes in the United Kingdom. Room connectivity is determined based on: spillover of artificial light between rooms; occupancy detections due to movement between rooms; and a fusion of the two. The fusion of both techniques is shown to work better than either technique alone, with a 93% true positive rate and 0.5% false positive rate (aggregate across both houses), and a convergence time of under a week.

AB - Sensor and actuator networks are often installed in buildings for energy-related applications such as lighting and climate control. Such systems require metadata about the deployed hardware (e.g. which room each is in, what the function of each room is) in order to operate effectively. In this paper we present methods to automatically determine such metadata, in particular the room connectivity graph (i.e., which rooms share a doorway/interior window). Crucially, our method works with just one sensor unit per room, does not require special placement of any of the sensors, and can therefore work on data from existing widely-deployed applications (such as burglar alarms). We apply this method to a 30-day data set from single per-room sensor units deployed in two residential homes in the United Kingdom. Room connectivity is determined based on: spillover of artificial light between rooms; occupancy detections due to movement between rooms; and a fusion of the two. The fusion of both techniques is shown to work better than either technique alone, with a 93% true positive rate and 0.5% false positive rate (aggregate across both houses), and a convergence time of under a week.

U2 - 10.1145/2422531.2422563

DO - 10.1145/2422531.2422563

M3 - Conference contribution/Paper

SN - 978-1-4503-1170-0

SP - 177

EP - 183

BT - BuildSys '12 Proceedings of the Fourth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings

PB - ACM

CY - New York

ER -