Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models

Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models

Lighting systems based on light-emitting diodes (LEDs) possess many benefits over their incandescent counterparts including longer lifespans, lower energy costs, better quality of light and no toxic elements, all without sacrificing consumer satisfaction. Their lifespan is not affected by switching...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Cosovic, M, Devaja, T, Bajovic, D, Machaj, J, McCutcheon, G, Stankovic, V, Stankovic, L, Vukobratovic, D
Format: Artikel
Sprache:eng
Schlagworte:
Computer Science - Information Theory
Mathematics - Information Theory
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator Cosovic, M
Devaja, T
Bajovic, D
Machaj, J
McCutcheon, G
Stankovic, V
Stankovic, L
Vukobratovic, D
description Lighting systems based on light-emitting diodes (LEDs) possess many benefits over their incandescent counterparts including longer lifespans, lower energy costs, better quality of light and no toxic elements, all without sacrificing consumer satisfaction. Their lifespan is not affected by switching frequency allowing for better illumination control and system efficiency. In this paper, we present a fully distributed energy-saving illumination dimming control strategy for the system of a lighting network which consists of a group of LEDs and user-associated devices. In order to solve the optimization problem, we are using a distributed approach that utilizes factor graphs and the belief propagation algorithm. Using probabilistic graphical models to represent and solve the system model provides for a natural description of the problem structure, where user devices and LED controllers exchange data via line-of-sight communication.
doi_str_mv 10.48550/arxiv.1906.06991
format Article
fullrecord <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_1906_06991</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1906_06991</sourcerecordid><originalsourceid>FETCH-LOGICAL-a671-a4e643857e13b5d6d69b43da3426f244c28b967cf4babd926858f73ae69e264f3</originalsourceid><addsrcrecordid>eNotj7FOwzAURb0woMIHMOEfSEhi-yUeUYASqRUMXVFkxzZ9kmtXjovK31MC09VdztEh5K6uSt4JUT2odMavspYVlBVIWV-Tjyecc0J9ytbQIWTrPX7akOng_emAQWWMgfYx5BQ9xUDz3i7XnjONjr6nqJVGf6HgRNdJHfc4KU-30Vg_35Arp_xsb_93RXYvz7v-tdi8rYf-cVMoaOtCcQucdaK1NdPCgAGpOTOK8QZcw_nUdFpCOzl-URnZQCc61zJlQdoGuGMrcv-HXfrGY8KDSt_jb-e4dLIfWcRPAw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models</title><source>arXiv.org</source><creator>Cosovic, M ; Devaja, T ; Bajovic, D ; Machaj, J ; McCutcheon, G ; Stankovic, V ; Stankovic, L ; Vukobratovic, D</creator><creatorcontrib>Cosovic, M ; Devaja, T ; Bajovic, D ; Machaj, J ; McCutcheon, G ; Stankovic, V ; Stankovic, L ; Vukobratovic, D</creatorcontrib><description>Lighting systems based on light-emitting diodes (LEDs) possess many benefits over their incandescent counterparts including longer lifespans, lower energy costs, better quality of light and no toxic elements, all without sacrificing consumer satisfaction. Their lifespan is not affected by switching frequency allowing for better illumination control and system efficiency. In this paper, we present a fully distributed energy-saving illumination dimming control strategy for the system of a lighting network which consists of a group of LEDs and user-associated devices. In order to solve the optimization problem, we are using a distributed approach that utilizes factor graphs and the belief propagation algorithm. Using probabilistic graphical models to represent and solve the system model provides for a natural description of the problem structure, where user devices and LED controllers exchange data via line-of-sight communication.</description><identifier>DOI: 10.48550/arxiv.1906.06991</identifier><language>eng</language><subject>Computer Science - Information Theory ; Mathematics - Information Theory</subject><creationdate>2019-06</creationdate><rights>http://arxiv.org/licenses/nonexclusive-distrib/1.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,881</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/1906.06991$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.1906.06991$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Cosovic, M</creatorcontrib><creatorcontrib>Devaja, T</creatorcontrib><creatorcontrib>Bajovic, D</creatorcontrib><creatorcontrib>Machaj, J</creatorcontrib><creatorcontrib>McCutcheon, G</creatorcontrib><creatorcontrib>Stankovic, V</creatorcontrib><creatorcontrib>Stankovic, L</creatorcontrib><creatorcontrib>Vukobratovic, D</creatorcontrib><title>Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models</title><description>Lighting systems based on light-emitting diodes (LEDs) possess many benefits over their incandescent counterparts including longer lifespans, lower energy costs, better quality of light and no toxic elements, all without sacrificing consumer satisfaction. Their lifespan is not affected by switching frequency allowing for better illumination control and system efficiency. In this paper, we present a fully distributed energy-saving illumination dimming control strategy for the system of a lighting network which consists of a group of LEDs and user-associated devices. In order to solve the optimization problem, we are using a distributed approach that utilizes factor graphs and the belief propagation algorithm. Using probabilistic graphical models to represent and solve the system model provides for a natural description of the problem structure, where user devices and LED controllers exchange data via line-of-sight communication.</description><subject>Computer Science - Information Theory</subject><subject>Mathematics - Information Theory</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNotj7FOwzAURb0woMIHMOEfSEhi-yUeUYASqRUMXVFkxzZ9kmtXjovK31MC09VdztEh5K6uSt4JUT2odMavspYVlBVIWV-Tjyecc0J9ytbQIWTrPX7akOng_emAQWWMgfYx5BQ9xUDz3i7XnjONjr6nqJVGf6HgRNdJHfc4KU-30Vg_35Arp_xsb_93RXYvz7v-tdi8rYf-cVMoaOtCcQucdaK1NdPCgAGpOTOK8QZcw_nUdFpCOzl-URnZQCc61zJlQdoGuGMrcv-HXfrGY8KDSt_jb-e4dLIfWcRPAw</recordid><startdate>20190612</startdate><enddate>20190612</enddate><creator>Cosovic, M</creator><creator>Devaja, T</creator><creator>Bajovic, D</creator><creator>Machaj, J</creator><creator>McCutcheon, G</creator><creator>Stankovic, V</creator><creator>Stankovic, L</creator><creator>Vukobratovic, D</creator><scope>AKY</scope><scope>AKZ</scope><scope>GOX</scope></search><sort><creationdate>20190612</creationdate><title>Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models</title><author>Cosovic, M ; Devaja, T ; Bajovic, D ; Machaj, J ; McCutcheon, G ; Stankovic, V ; Stankovic, L ; Vukobratovic, D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a671-a4e643857e13b5d6d69b43da3426f244c28b967cf4babd926858f73ae69e264f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Computer Science - Information Theory</topic><topic>Mathematics - Information Theory</topic><toplevel>online_resources</toplevel><creatorcontrib>Cosovic, M</creatorcontrib><creatorcontrib>Devaja, T</creatorcontrib><creatorcontrib>Bajovic, D</creatorcontrib><creatorcontrib>Machaj, J</creatorcontrib><creatorcontrib>McCutcheon, G</creatorcontrib><creatorcontrib>Stankovic, V</creatorcontrib><creatorcontrib>Stankovic, L</creatorcontrib><creatorcontrib>Vukobratovic, D</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv Mathematics</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Cosovic, M</au><au>Devaja, T</au><au>Bajovic, D</au><au>Machaj, J</au><au>McCutcheon, G</au><au>Stankovic, V</au><au>Stankovic, L</au><au>Vukobratovic, D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models</atitle><date>2019-06-12</date><risdate>2019</risdate><abstract>Lighting systems based on light-emitting diodes (LEDs) possess many benefits over their incandescent counterparts including longer lifespans, lower energy costs, better quality of light and no toxic elements, all without sacrificing consumer satisfaction. Their lifespan is not affected by switching frequency allowing for better illumination control and system efficiency. In this paper, we present a fully distributed energy-saving illumination dimming control strategy for the system of a lighting network which consists of a group of LEDs and user-associated devices. In order to solve the optimization problem, we are using a distributed approach that utilizes factor graphs and the belief propagation algorithm. Using probabilistic graphical models to represent and solve the system model provides for a natural description of the problem structure, where user devices and LED controllers exchange data via line-of-sight communication.</abstract><doi>10.48550/arxiv.1906.06991</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier DOI: 10.48550/arxiv.1906.06991
ispartof
issn
language eng
recordid cdi_arxiv_primary_1906_06991
source arXiv.org
subjects Computer Science - Information Theory
Mathematics - Information Theory
title Distributed Intelligent Illumination Control in the Context of Probabilistic Graphical Models
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-05T23%3A21%3A31IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-arxiv_GOX&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Distributed%20Intelligent%20Illumination%20Control%20in%20the%20Context%20of%20Probabilistic%20Graphical%20Models&rft.au=Cosovic,%20M&rft.date=2019-06-12&rft_id=info:doi/10.48550/arxiv.1906.06991&rft_dat=%3Carxiv_GOX%3E1906_06991%3C/arxiv_GOX%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true