Intelligent street lighting clustering

R. Verhoeven, N. Jovanovic, J.J. Lukkien

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

The advances in dynamic street lighting introduce new functionality for control and maintenance of the street lighting infrastructure. Vital elements in this infrastructure are the powerful controlling devices that control separate groups of light poles and collect information from the system. For an infrastructure based on wireless communication, this paper describes a fast heuristic algorithm for selecting the locations of these controllers and computing their light poles assignments. In addition, we present the analysis of the simulation results obtained by testing our algorithm for six street lighting networks with real geographic locations of their light poles. Keywords: Citywide; clustering; segmentation; street lighting; wireless network
Original languageEnglish
Title of host publication2014 ACM International Workshop on Wireless and Mobile Technologies for Smart Cities (WiMobCity'14, Philadelphia PA, USA, August 11-14, 2014)
Place of PublicationNew York NY
PublisherAssociation for Computing Machinery, Inc
Pages101-108
ISBN (Print)978-1-4503-3036-7
DOIs
Publication statusPublished - 2014
Event2014 ACM International Workshop on Wireless and Mobile Technologies for Smart Cities (WiMobCity 2014) - Philadelphia, United States
Duration: 11 Aug 201411 Aug 2014

Workshop

Workshop2014 ACM International Workshop on Wireless and Mobile Technologies for Smart Cities (WiMobCity 2014)
Abbreviated titleWiMobCity 2014
CountryUnited States
CityPhiladelphia
Period11/08/1411/08/14

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  • Cite this

    Verhoeven, R., Jovanovic, N., & Lukkien, J. J. (2014). Intelligent street lighting clustering. In 2014 ACM International Workshop on Wireless and Mobile Technologies for Smart Cities (WiMobCity'14, Philadelphia PA, USA, August 11-14, 2014) (pp. 101-108). Association for Computing Machinery, Inc. https://doi.org/10.1145/2633661.2633668