Cross-technology Communication between Visible Light and Battery-free RFIDs

Author:

Wang Ge1ORCID,Han Lubing1ORCID,Chang Yuance1ORCID,Shi Yuting1ORCID,Qian Chen2ORCID,Zhao Cong1ORCID,Ding Han1ORCID,Xi Wei1ORCID,Zhao Cui1ORCID,Zhao Jizhong1ORCID

Affiliation:

1. Xi'an Jiaotong University, Xi'an, China

2. University of California, Santa Cruz, Santa Cruz, United States

Abstract

The ubiquity of illumination facilities enables the versatile development of Visible Light Communication (VLC). VLC-based research achieved high-speed wireless access and decimeter-level indoor localization with complex equipment. However, it is still unclear whether the VLC is applicable for widely-used battery-free Internet-of-Things nodes, e.g., passive RFIDs. This paper proposes LightSign, the first cross-technology system that enables passive RFID tags to receive visible light messages. LightSign is compatible with commercial protocols, transparent to routine RFID communications, and invisible to human eyes. We propose a pseudo-timing instruction to achieve microsecond-level light switching to modulate the VLC message. To make it perceptible to passive RFIDs, we design an augmented RFID tag and prove its effectiveness theoretically and experimentally. With only one reply from an augmented tag, LightSign can decode 100-bit-long VLC messages. We evaluate LightSign in real industry environments and test its performance with two use cases. The results show that LightSign achieves up to 99.2% decoding accuracy in varying scenarios.

Funder

National Key R\&D Program of China

China National Postdoctoral Program for Innovative Talents

Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation

NSFC Grant

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Hardware and Architecture,Human-Computer Interaction

Reference42 articles.

1. Cross-Frequency Communication

2. Challenge

3. Visible light communications as a complementary technology for the internet of vehicles

4. RFGo

5. Yanling Bu , Lei Xie , Yinyin Gong , Chuyu Wang , Lei Yang , Jia Liu , and Sanglu Lu. 2020. RF-Dial: Rigid motion tracking and touch gesture detection for interaction via RFID tags . IEEE Transactions on Mobile Computing (TMC) ( 2020 ). Yanling Bu, Lei Xie, Yinyin Gong, Chuyu Wang, Lei Yang, Jia Liu, and Sanglu Lu. 2020. RF-Dial: Rigid motion tracking and touch gesture detection for interaction via RFID tags. IEEE Transactions on Mobile Computing (TMC) (2020).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. NeuroCamTags: Long-Range, Battery-free, Wireless Sensing with Neuromorphic Cameras;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3