Visible Light Communications for Sensing and Lighting Control

Warmerdam, Kevin; Pandharipande, Ashish; Caicedo, David; Zúñiga, Marco

doi:10.1109/jsen.2016.2585199

Cited by 19 publications

(6 citation statements)

References 18 publications

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“…VLC-Based Smart Homes and Buildings: In the past few years, a variety of solutions have been proposed in the literature for controlling smart home appliances using VLC. It includes smart temperature and HVAC monitoring [64]- [66], smart lighting [67], smart door lock [68], and different other services. The work in [69] proposed a VLC and augmented reality-based monitoring application for smart home devices in airbnb rentals.…”

Section: B the Owc-iott In Smart Citiesmentioning

confidence: 99%

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

Çelik¹,

Romdhane²,

Kaddoum³

et al. 2022

Preprint

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The Internet of Things (IoT) is a transformative technology marking the beginning of a new era where physical and digital worlds are integrated by connecting a plethora of uniquely identifiable smart objects. Although the Internet of terrestrial things (IoTT) has been at the center of our IoT perception, it has been recently extended to different environments, such as the Internet of underWater things (IoWT), the Internet of Biomedical things (IoBT), and Internet of underGround things (IoGT). Even though radio frequency (RF) based wireless networks are regarded as the default means of connectivity, they are not always the best option due to the limited spectrum, interference limitations caused by the ever-increasing number of devices, and severe propagation loss in transmission mediums other than air. As a remedy, optical wireless communication (OWC) technologies can complement, replace, or co-exist with audio and radio wave-based wireless systems to improve overall network performance. To this aim, this paper reveals the full potential of OWC-based IoT networks by providing a top-down survey of four main IoT domains: IoTT, IoBT, and IoGT. Each domain is covered by a dedicated and self-contained section that starts with a comparative analysis, explains how OWC can be hybridized with existing wireless technologies, points out potential OWC applications fitting best the related IoT domain, and discusses open communication and networking research problems. More importantly, instead of presenting a visionary OWC-IoT framework, the survey discloses that OWC-IoT has become a reality by emphasizing ongoing proof-of-concept prototyping efforts and available commercial off-the-shelf (COTS) OWC-IoT products.

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Section: B the Owc-iott In Smart Citiesmentioning

confidence: 99%

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

Çelik¹,

Romdhane²,

Kaddoum³

et al. 2022

Preprint

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“…For the illuminance settings are values of illuminance set by occupants with two states, for example, 500 lux for occupancy and 0 lux for unoccupancy. In [12,13], they utilized other states which are 500 lux and 300 lux for occupancy and unoccupancy, respectively with accordance to the European Standard EN12464-1. Another work in [14], the illuminance level set-point was considered of 400 lux for occupied and 100 lux for unoccupied in an office room.…”

Section: Occupancy-basedmentioning

confidence: 99%

“…The literature showed that majority researchers considered the placement of the occupancy sensor (i.e. PIR sensor) co-located with the luminaire [12,13,28,29] has been employed in the first strategy. Meanwhile, in the second strategy, linear equation with respect to the mounting height and radius of the FoV was used in [30].…”

Section: Occupancy Sensor Placementmentioning

confidence: 99%

A review on sensing-based strategies of interior lighting control system and their performance in commercial buildings

Wagiman

Abdullah

Hassan

et al. 2019

IJEECS

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Artificial lighting consumed significant amount of electrical energy in commercial buildings. Therefore, intelligent control strategies are widely implemented to reduce the lighting energy consumption. This paper presents comprehensive review of the current sensing-based strategies (i.e. occupancy, daylight and mixed), sensors placement methods (i.e. occupancy and light) and factors affecting the performance of the lighting control strategies. Based on literature survey, the sensors placement methods can be categorized into three approaches: fixed, mathematical equation and optimization. The state-of-the-art of these approaches are discusses in details. It found that, the optimization-based approach capable to find the optimal sensor placement (numbers and positions) effectively. Moreover, the mixed strategy can be produced the highest energy savings up to 95% compared with other strategies. The occupancy pattern and building characteristics are the main factors to contribute higher energy savings of sensing-based strategies in commercial buildings.

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“…where " d is the desired average dimming level, pðtÞ is a square wave with frequency f Tx and Ád is the modulation depth. 15 Note that each LED luminaire in the lighting system has a unique transmitting frequency f Tx that allows for individual identification. To avoid flicker, the transmitting frequency f Tx is above 1 kHz.…”

Section: Luminaire Modulationmentioning

confidence: 99%

“…To address this, a sensor system with both ceiling and workplace sensors has been proposed. 14 Approaches using visible light communication (VLC) have been proposed 15,16 using ceiling sensors to disaggregate the daylight and artificial light components in order to improve illumination. Such systems still do not take into account individual user illumination preferences in real time.…”

Section: Introductionmentioning

confidence: 99%

Sensor-driven, human-in-the-loop lighting control

Tan

Caicedo

Pandharipande

et al. 2017

Lighting Research & Technology

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Smart indoor lighting systems use occupancy and light sensor data to adapt artificial lighting in accordance with changing occupancy and daylight conditions. Such systems can be designed to reduce lighting energy consumption significantly. However, these systems cannot account for individual user preferences at the workplace in real time. We propose a sensor-driven, human-in-the-loop lighting system that incorporates user feedback in addition to occupancy and light sensor inputs. In this system, luminaires transmit unique visible light communication identifier signals. By processing the image captured by a smartphone camera, a user obtains two pieces of information: visible light communication identifiers of luminaires in the vicinity and average image pixel value. A control algorithm is designed that incorporates these user inputs along with occupancy and light sensor inputs to determine the dimming levels of the luminaires to achieve illumination levels acceptable to users. We compare the performance of the proposed lighting control system with a sensor-driven lighting control system in an office test bed.

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Visible Light Communications for Sensing and Lighting Control

Cited by 19 publications

References 18 publications

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

A Top-Down Survey on Optical Wireless Communications for the Internet of Things

A review on sensing-based strategies of interior lighting control system and their performance in commercial buildings

Sensor-driven, human-in-the-loop lighting control

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