Demo: Fine-tuned Lighting Control Leveraging Smartphone-based Occupancy Detection

Alexander de Moes; Jens Joachim K. Pedersen; Chayan Sarkar; R. Venkatesha Prasad

Demo: Fine-tuned Lighting Control Leveraging Smartphone-based Occupancy Detection

Alexander de Moes, Jens Joachim K. Pedersen, Chayan Sarkar, R. Venkatesha Prasad

Embedded Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Recently occupancy-based lighting control has shown a great promise towards achieving better energy efficiency. Generally, traditional systems use additional sensors to detect user presence with higher precision to better the control
algorithms. In this work, we show how a smartphone-based indoor localization can be utilized for this purpose without deploying additional sensors. Apart from automatic controlling of the lights, our system provides a sophisticated manual control, where each light unit can be controlled by just pointing the phone towards it. Based on our experiments, we show that up to 67% more energy saving is possible using our systems compared to traditional methods.

Original language	English
Title of host publication	EWSN'16 Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks
Editors	K. Römer
Publisher	Junction Publishing
Pages	271-272
Number of pages	2
ISBN (Print)	978-0-9949886-0-7
Publication status	Published - 2016
Event	2016 International Conference on Embedded Wireless Systems and Networks, EWSN 2016 - Graz, Austria Duration: 15 Feb 2016 → 17 Feb 2016

Conference

Conference	2016 International Conference on Embedded Wireless Systems and Networks, EWSN 2016
Country/Territory	Austria
City	Graz
Period	15/02/16 → 17/02/16

Keywords

Indoor localization
automated lighting control

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

@inproceedings{a348b52efbf94652bd56e8bf7dd2873b,

title = "Demo: Fine-tuned Lighting Control Leveraging Smartphone-based Occupancy Detection",

abstract = "Recently occupancy-based lighting control has shown a great promise towards achieving better energy efficiency. Generally, traditional systems use additional sensors to detect user presence with higher precision to better the controlalgorithms. In this work, we show how a smartphone-based indoor localization can be utilized for this purpose without deploying additional sensors. Apart from automatic controlling of the lights, our system provides a sophisticated manual control, where each light unit can be controlled by just pointing the phone towards it. Based on our experiments, we show that up to 67% more energy saving is possible using our systems compared to traditional methods.",

keywords = "Indoor localization, automated lighting control",

author = "{de Moes}, Alexander and Pedersen, {Jens Joachim K.} and Chayan Sarkar and Prasad, {R. Venkatesha}",

year = "2016",

language = "English",

isbn = "978-0-9949886-0-7 ",

pages = "271--272",

editor = "K. R{\"o}mer",

booktitle = "EWSN'16 Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks",

publisher = "Junction Publishing",

address = "Canada",

note = "2016 International Conference on Embedded Wireless Systems and Networks, EWSN 2016 ; Conference date: 15-02-2016 Through 17-02-2016",

}

de Moes, A, Pedersen, JJK, Sarkar, C & Prasad, RV 2016, Demo: Fine-tuned Lighting Control Leveraging Smartphone-based Occupancy Detection. in K Römer (ed.), EWSN'16 Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks. Junction Publishing, pp. 271-272, 2016 International Conference on Embedded Wireless Systems and Networks, EWSN 2016, Graz, Austria, 15/02/16.

Demo: Fine-tuned Lighting Control Leveraging Smartphone-based Occupancy Detection. / de Moes, Alexander; Pedersen, Jens Joachim K.; Sarkar, Chayan et al.
EWSN'16 Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks. ed. / K. Römer. Junction Publishing, 2016. p. 271-272.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Demo

T2 - 2016 International Conference on Embedded Wireless Systems and Networks, EWSN 2016

AU - de Moes, Alexander

AU - Pedersen, Jens Joachim K.

AU - Sarkar, Chayan

AU - Prasad, R. Venkatesha

PY - 2016

Y1 - 2016

N2 - Recently occupancy-based lighting control has shown a great promise towards achieving better energy efficiency. Generally, traditional systems use additional sensors to detect user presence with higher precision to better the controlalgorithms. In this work, we show how a smartphone-based indoor localization can be utilized for this purpose without deploying additional sensors. Apart from automatic controlling of the lights, our system provides a sophisticated manual control, where each light unit can be controlled by just pointing the phone towards it. Based on our experiments, we show that up to 67% more energy saving is possible using our systems compared to traditional methods.

AB - Recently occupancy-based lighting control has shown a great promise towards achieving better energy efficiency. Generally, traditional systems use additional sensors to detect user presence with higher precision to better the controlalgorithms. In this work, we show how a smartphone-based indoor localization can be utilized for this purpose without deploying additional sensors. Apart from automatic controlling of the lights, our system provides a sophisticated manual control, where each light unit can be controlled by just pointing the phone towards it. Based on our experiments, we show that up to 67% more energy saving is possible using our systems compared to traditional methods.

KW - Indoor localization

KW - automated lighting control

UR - http://dl.acm.org/citation.cfm?id=2893711.2893768

M3 - Conference contribution

SN - 978-0-9949886-0-7

SP - 271

EP - 272

BT - EWSN'16 Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks

A2 - Römer, K.

PB - Junction Publishing

Y2 - 15 February 2016 through 17 February 2016

ER -

Demo: Fine-tuned Lighting Control Leveraging Smartphone-based Occupancy Detection

Abstract

Conference

Keywords

UN SDGs

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