Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities
Visible-light-based transmission application plays an important role in various types of sensor services for the Internet of Things (IoTs). However, in big data scenarios, current visible-light-based systems cannot achieve concurrent high-speed communication, low-speed communication, and positioning. Therefore, in this article, we propose a smart visible-light-based fusion applications system, named Fasys, to solve the above problem for the big data traffic with heterogeneity. Specifically, for low-speed data services, we propose a novel linear block coding and bit interleaving mechanism, which enhances the LED positioning accuracy and recovers the lost data bits in the interframe gap (IFG). For high-speed data services with traffic possessing burstiness, an elegant statistical reliability analysis framework in regard to latency is proposed based on martingale theory. The backlog martingale process is constructed. Leveraging stopping time theory, a tight upper bound of unreliability is obtained. An arrival abstraction and traffic allocation scheme is designed, which contributes to decouple the reliability requirement as the maximum supportable arrival load. Finally, we implement our Fasys system, and extensive experimental results show that our system can achieve consistent high-precision positioning and low-BER data communication for low-speed data services. And the proposed martingale-based traffic allocation scheme can achieve the provisioning of reliability in regard to the latency for high-speed data services.
Natural Science Foundation of Guangdong Province[2021A1515011268];Basic and Applied Basic Research Foundation of Guangdong Province[2021A1515110958];National Natural Science Foundation of China;Natural Science Foundation of Chongqing[CSTB2023NSCQ-MSX2995];
|WOS Research Area|
Chemistry ; Engineering ; Instruments & Instrumentation
Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
|WOS Accession No|
|ESI Research Field|
Cited Times [WOS]:0
|Document Type||Journal Article|
|Department||Department of Computer Science and Engineering|
1.School of Information Science and Engineering,Shenyang Ligong University,Shenyang,110158,China
2.Department of Computer Science and Engineering,Southern University of Science and Technology,Shenzhen,518055,China
3.School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing,400065,China
4.Hangzhou Institute of Advanced Technology,Hangzhou,310056,China
5.Institute of Intelligent Communications and Network Security,Chongqing University of Posts and Telecommunications,Chongqing,400065,China
|Corresponding Author Affilication||Department of Computer Science and Engineering|
Yu，Baozhu,Liu，Xiangyu,Guo，Lei,et al. Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities[J]. Sensors,2023,23(14).
Yu，Baozhu,Liu，Xiangyu,Guo，Lei,Wei，Xuetao,&Song，Song.(2023).Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities.Sensors,23(14).
Yu，Baozhu,et al."Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities".Sensors 23.14(2023).
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