Dimming support for visible light communication in intelligent transportation and traffic system

Uçar, Seyhan; Turan, Buğra; Coleri, Sinem; Özkasap, Öznur; Ergen, Mustafa

doi:10.1109/noms.2016.7502986

Cited by 14 publications

(14 citation statements)

References 17 publications

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“…Recently, many researchers are aggressively investigating V2LC for different purposes such as channel characteristics [25,26], requirements [9,[27][28][29]. Proposed V2LC schemes were studied either experimentally [5,9,15,27] or via computer-based simulations using the Lambertian property of LEDs [26,28].…”

Section: Secure Vehicular Communications Through V2lcmentioning

confidence: 99%

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Vehicular Visible Light Communications

Turan¹,

Uçar²

2017

Visible Light Communications

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Section: Secure Vehicular Communications Through V2lcmentioning

confidence: 99%

“…Proposed V2LC schemes were studied either experimentally [5,9,15,27] or via computer-based simulations using the Lambertian property of LEDs [26,28]. Most of the academic research on V2LC has targeted achievement of high data rates by using advanced modulation schemes [20,30,31].…”

Section: Secure Vehicular Communications Through V2lcmentioning

confidence: 99%

Vehicular Visible Light Communications

Turan¹,

Uçar²

2017

Visible Light Communications

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“…Besides, VLC can be adopted in particularly sensitive areas (Mostafa and Lampe 2015), such as airplanes and hospitals. Not surprisingly, LED-based VLCs have been proposed for sensing networks (Tahmasi et al 2016), illumination (Li et al 2016b), intelligent transportation systems (Ucar et al 2016), broadcasting (Song et al 2015), and many other applications.…”

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confidence: 99%

A fuzzy-PSO system for indoor localization based on visible light communications

et al. 2018

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Indoor positioning systems using Visible Light Communication (VLC) have potential applications in smart buildings, for instance, in developing economical, easy-touse, widely accessible positioning system based on Light Emitting Diodes (LEDs). Thus using VLCs, we introduce a new fuzzy-based system for indoor localization in this paper. The system processes data from transmitters (i.e., anchor nodes) and delivers the calculated position of a receiver. A Particle Swarm Optimization (PSO) technique is then employed to obtain the optimal configuration of the proposed Fuzzy Logic Controllers (FLCs). Specifically, the proposed PSO technique optimizes the membership functions of the FLCs by adjusting their range to achieve the best results regarding the localization reliability. We demonstrate the utility of the proposed approach using experiments.

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“…Since the vehicles' headlights and taillights are usually composed of LEDs, the vehicles can communicate with each other using VLC. Then, an intelligent transportation system (ITS) can be built to improve road safety and traffic flow based on VLC networks [5].…”

Section: Introductionmentioning

confidence: 99%

“…5 shows that when the number of users increases (selected in the order shown inFig. 3.4), the BER performances of CM-PAJO become worse, due to an , FOV=20 degrees 4−detector, FOV=60 degrees 4−detector, FOV=80 degrees 7−detector, FOV=20 degrees 7−detector, FOV=60 degrees 7−detector, FOV=80 degrees…”

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confidence: 99%

Multiuser MIMO Indoor Visible Light Communications

Lian

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for their invaluable time and helpful suggestions. I am grateful to my parents for their patience, help and love. "A journey of one thousand miles begins with one step," my parents always encourage me to take the first step. During the five years, my parents gave me the power to finish the PhD's program. Then, I would thank my lovely wife, who always tells me how good I am when I feel stuck. I would like to thank the China Scholarship Council for the funding support. It is a blessing to be surrounded by many colleagues and friends at the University of Virginia. Finally, I am grateful to all my friends in Charlottesville and for making my life at U.Va. enjoyable.

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Dimming support for visible light communication in intelligent transportation and traffic system

Cited by 14 publications

References 17 publications

Vehicular Visible Light Communications

Vehicular Visible Light Communications

A fuzzy-PSO system for indoor localization based on visible light communications

Multiuser MIMO Indoor Visible Light Communications

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