research-article

SmartVLC: When Smart Lighting Meets VLC

Authors:

Marco ZunigaAuthors Info & Claims

CoNEXT '17: Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies

Pages 212 - 223

https://doi.org/10.1145/3143361.3149824

Published: 28 November 2017 Publication History

Abstract

Visible Light Communication (VLC) based on LEDs has been a hot topic investigated for over a decade. However, most of the research efforts in this area assume the intensity of the light emitted from LEDs is constant. This is not true any more when Smart Lighting is introduced to VLC in recent years, which requires the LEDs to adapt their brightness according to the intensity of the natural ambient light. Smart lighting saves power consumption and improves user comfort. However, intensity adaptation severely affects the throughput performance of the data communication. In this paper, we propose SmartVLC, a system that can maximize the throughput (benefit communication) while still maintaining the LEDs' illumination function (benefit smart lighting). A new adaptive multiple pulse position modulation scheme is proposed to support fine-grained dimming levels to avoid flickering and at the same time, maximize the throughput under each dimming level. SmartVLC is implemented on low-cost commodity hardware and several real-life challenges in both hardware and software are addressed to make SmartVLC a robust realtime system. Comprehensive experiments are carried out to evaluate the performance of SmartVLC under multifaceted scenarios. The results demonstrate that SmartVLC supports a communication distance up to 3.6m, and improves the throughput achieved with two state-of-the-art approaches by 40% and 12% on average, respectively, without bringing any flickering to users.

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Cited By

Zhang XMariani JXiao LMutka M(2024)Exploiting Fine-grained Dimming with Improved LiFi ThroughputACM Transactions on Sensor Networks10.1145/364381420:3(1-24)Online publication date: 13-Apr-2024
https://dl.acm.org/doi/10.1145/3643814
Putrada AAbdurohman MPerdana DNuha H(2022)Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A SurveyIEEE Access10.1109/ACCESS.2022.316976510(45137-45178)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3169765
Yang YLuo JChen CChen ZZhong WChen L(2021)Pushing the Data Rate of Practical VLC via Combinatorial Light EmissionIEEE Transactions on Mobile Computing10.1109/TMC.2020.297120420:5(1979-1992)Online publication date: 1-May-2021
https://doi.org/10.1109/TMC.2020.2971204
Show More Cited By

Index Terms

SmartVLC: When Smart Lighting Meets VLC
1. Networks
  1. Network types
    1. Cyber-physical networks

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cover image ACM Conferences

CoNEXT '17: Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies

November 2017

492 pages

ISBN:9781450354226

DOI:10.1145/3143361

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCOMM: ACM Special Interest Group on Data Communication

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Published: 28 November 2017

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CoNEXT '17

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SIGCOMM

CoNEXT '17: The 13th International Conference on emerging Networking EXperiments and Technologies

December 12 - 15, 2017

Incheon, Republic of Korea

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Overall Acceptance Rate 198 of 789 submissions, 25%

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Cited By

Zhang XMariani JXiao LMutka M(2024)Exploiting Fine-grained Dimming with Improved LiFi ThroughputACM Transactions on Sensor Networks10.1145/364381420:3(1-24)Online publication date: 13-Apr-2024
https://dl.acm.org/doi/10.1145/3643814
Putrada AAbdurohman MPerdana DNuha H(2022)Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A SurveyIEEE Access10.1109/ACCESS.2022.316976510(45137-45178)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3169765
Yang YLuo JChen CChen ZZhong WChen L(2021)Pushing the Data Rate of Practical VLC via Combinatorial Light EmissionIEEE Transactions on Mobile Computing10.1109/TMC.2020.297120420:5(1979-1992)Online publication date: 1-May-2021
https://doi.org/10.1109/TMC.2020.2971204
Wang WWang QZhang JZuniga M(2020)PassiveVLPACM Transactions on Internet of Things10.1145/33621231:1(1-24)Online publication date: 2-Mar-2020
https://dl.acm.org/doi/10.1145/3362123
Ibne Mushfique SAlsharoa AYuksel M(2020)Optimization of SINR and Illumination Uniformity in Multi-LED Multi-Datastream VLC NetworksIEEE Transactions on Cognitive Communications and Networking10.1109/TCCN.2020.29723106:3(1108-1121)Online publication date: Sep-2020
https://doi.org/10.1109/TCCN.2020.2972310
Jenila CJeyachitra R(2020)Green indoor optical wireless communication systems: pathway towards pervasive deploymentDigital Communications and Networks10.1016/j.dcan.2020.09.004Online publication date: Sep-2020
https://doi.org/10.1016/j.dcan.2020.09.004
Rehman SUllah SChong PYongchareon SKomosny D(2019)Visible Light Communication: A System Perspective—Overview and ChallengesSensors10.3390/s1905115319:5(1153)Online publication date: 7-Mar-2019
https://doi.org/10.3390/s19051153
Bloom RZamalloa MPai CGanti RJiang XPicco GZhou X(2019)LuxLinkProceedings of the 17th Conference on Embedded Networked Sensor Systems10.1145/3356250.3360021(166-178)Online publication date: 10-Nov-2019
https://dl.acm.org/doi/10.1145/3356250.3360021
Nguyen DLe DTran TQuoc Bao V(2019)A Prototype of FPGA-based Centralized Multiple Transmitters for Visible Light Communications2019 6th NAFOSTED Conference on Information and Computer Science (NICS)10.1109/NICS48868.2019.9023844(142-147)Online publication date: Dec-2019
https://doi.org/10.1109/NICS48868.2019.9023844
Kirrbach RFaulwaßer MJakob BSchneider TNoack A(2019)Li-Fi for Augmented Reality Glasses: A Proof of Concept2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)10.1109/ISMAR-Adjunct.2019.00-32(263-268)Online publication date: Oct-2019
https://doi.org/10.1109/ISMAR-Adjunct.2019.00-32
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