NDLI: VINCE: Exploiting visible light sensing for smartphone-based NFC systems

Content Provider	IEEE Xplore Digital Library
Author	Jianwei Niu Fei Gu Ruogu Zhou Guoliang Xing Wei Xiang
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA (Ruogu Zhou; Guoliang Xing) \|\| State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China (Jianwei Niu; Fei Gu; Wei Xiang)
Abstract	This paper presents VINCE - a novel visible light sensing design for smartphone-based Near Field Communication (NFC) systems. VINCE encodes information as different brightness levels of smartphone screens, while receivers capture the light signal via light sensors. In contrast to RF technologies, the direction and distance of such a Visible Light Communication (VLC) link can be easily controlled, preserving communication privacy and security. As a result, VINCE can be used in a wide range of NFC applications such as contactless payments and device pairing. We experimentally profile the impact of screen brightness levels and refresh rates of smartphones, and then use the results to guide the design of light intensity encoding scheme of VINCE. We adopt several signal processing techniques and empirically derive a model to deal with the significant variation of received light intensity caused by noises and low screen refresh rates. To improve the communication reliability, VINCE adopts a feedback-based retransmission scheme, and dynamically adjusts the number of encoding brightness levels based on the current light channel condition. We also derive an analytical model that characterizes the relation among the distance, SNR (Signal to Noise Ratio), and BER (Bit Error Rate) of VINCE. Our design and theoretical model are validated via extensive evaluations using a hardware implementation of VINCE on Android smartphones and the Arduino platform.
Starting Page	2722
Ending Page	2730
File Size	488922
Page Count	9
File Format	PDF
ISBN	9781479983810
DOI	10.1109/INFOCOM.2015.7218664
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brightness Receivers Sensors Encoding Decoding Signal to noise ratio
Content Type	Text
Resource Type	Article

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