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Towards Visible Light Communication Using Mobile Devices.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Towards Visible Light Communication Using Mobile Devices./
作者:	Liu, Bo.
面頁冊數:	1 online resource (112 pages)
附註:	Source: Dissertations Abstracts International, Volume: 83-02, Section: B.
Contained By:	Dissertations Abstracts International83-02B.
標題:	Electrical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28318302click for full text (PQDT)
ISBN:	9798534672961

Towards Visible Light Communication Using Mobile Devices.
Liu, Bo.

Towards Visible Light Communication Using Mobile Devices. - 1 online resource (112 pages)

Source: Dissertations Abstracts International, Volume: 83-02, Section: B.

Thesis (Ph.D.)--Stevens Institute of Technology, 2021.

Includes bibliographical references

New mobile devices equipped with variety of sensors have been pervasively used by people in nowadays. These mobile devices have the capability to sense data with Visible Light Comunication(VLC). VLC grows rapidly in the past decade for many applications (e.g., indoor data transmission, human sensing, and visual MIMO) due to its RF interference immunity and inherent high security. However, most existing VLC systems heavily rely on fixed infrastructures with less adaptability to emerging lightweight mobile applications. This thesis firstly explores a low-cost portable visible light communication (VLC) system, Light Storage, by taking the advantage of commercial smartphone flashlights as the transmitter and a solar panel equipped with both data reception and energy harvesting modules as the receiver. Light Storage can achieve concurrent data transmission and energy harvesting from the visible light signals and is validated in both indoor and outdoor environments and can achieve over 98% data decoding accuracy, demonstrating the potential as an important alternative to support low-cost and portable short range communication. Then, a secure visible light communication system is presented leveraging the unique color shift property over screen-to-camera channel. To facilitate such design, two secret key mapping algorithms, key matching based and nearest next hop based, are developed to convert the secret key into gridded optical patterns on screen, which can only be correctly recognized by the legitimate user through an accessible region and allow regular data stream transmission through valid grids. The proposed system is prototyped with off-the-shelf devices and validated under various experimental scenarios. The results show that our system can achieve high bit-decoding accuracy for the legitimate users while maintaining comparable data throughput as regular unobtrusive VLC systems with very low key recovery accuracy for the attackers. Finally, a no physical contact VLC-based gesture recognition system, AirSlide, is developed utilizing the proximity and light sensors on COTS mobile devices. The designed algorithm captures key factors of unknown data when the operating finger moves in detection zone and compares it with training data to match the operating gesture. AirSlide achieves overall 96% accuracy in various environmental condition, and it brings convenience to users by using contactless gesture control when their hands are not free to touch and operate smart devices. This dissertation provides multiple directions in both communication and security on smart devices leveraging VLC technology, demonstrating promising research directions using commodity visible light.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798534672961Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

EnergyIndex Terms--Genre/Form:

542853
Electronic books.

Towards Visible Light Communication Using Mobile Devices.
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500 $a Advisor: Yao, Yudong.
502 $a Thesis (Ph.D.)--Stevens Institute of Technology, 2021.
504 $a Includes bibliographical references
520 $a New mobile devices equipped with variety of sensors have been pervasively used by people in nowadays. These mobile devices have the capability to sense data with Visible Light Comunication(VLC). VLC grows rapidly in the past decade for many applications (e.g., indoor data transmission, human sensing, and visual MIMO) due to its RF interference immunity and inherent high security. However, most existing VLC systems heavily rely on fixed infrastructures with less adaptability to emerging lightweight mobile applications. This thesis firstly explores a low-cost portable visible light communication (VLC) system, Light Storage, by taking the advantage of commercial smartphone flashlights as the transmitter and a solar panel equipped with both data reception and energy harvesting modules as the receiver. Light Storage can achieve concurrent data transmission and energy harvesting from the visible light signals and is validated in both indoor and outdoor environments and can achieve over 98% data decoding accuracy, demonstrating the potential as an important alternative to support low-cost and portable short range communication. Then, a secure visible light communication system is presented leveraging the unique color shift property over screen-to-camera channel. To facilitate such design, two secret key mapping algorithms, key matching based and nearest next hop based, are developed to convert the secret key into gridded optical patterns on screen, which can only be correctly recognized by the legitimate user through an accessible region and allow regular data stream transmission through valid grids. The proposed system is prototyped with off-the-shelf devices and validated under various experimental scenarios. The results show that our system can achieve high bit-decoding accuracy for the legitimate users while maintaining comparable data throughput as regular unobtrusive VLC systems with very low key recovery accuracy for the attackers. Finally, a no physical contact VLC-based gesture recognition system, AirSlide, is developed utilizing the proximity and light sensors on COTS mobile devices. The designed algorithm captures key factors of unknown data when the operating finger moves in detection zone and compares it with training data to match the operating gesture. AirSlide achieves overall 96% accuracy in various environmental condition, and it brings convenience to users by using contactless gesture control when their hands are not free to touch and operate smart devices. This dissertation provides multiple directions in both communication and security on smart devices leveraging VLC technology, demonstrating promising research directions using commodity visible light.
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653 $a Gesture
653 $a Mobile
653 $a Security
653 $a VLC
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