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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/14/6340 |
| _version_ | 1797587497190948864 |
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| author | Baozhu Yu Xiangyu Liu Lei Guo Xuetao Wei Song Song |
| author_facet | Baozhu Yu Xiangyu Liu Lei Guo Xuetao Wei Song Song |
| author_sort | Baozhu Yu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T00:39:47Z |
| format | Article |
| id | doaj.art-27ed9ad3bcb048b0abe60bcfbec557f1 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T00:39:47Z |
| publishDate | 2023-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-27ed9ad3bcb048b0abe60bcfbec557f12023-11-18T21:16:20ZengMDPI AGSensors1424-82202023-07-012314634010.3390/s23146340Fasys: Visible-Light-Based Communication and Positioning Services towards Smart CitiesBaozhu Yu0Xiangyu Liu1Lei Guo2Xuetao Wei3Song Song4School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110158, ChinaSchool of Information Science and Engineering, Shenyang Ligong University, Shenyang 110158, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaDepartment of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaVisible-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.https://www.mdpi.com/1424-8220/23/14/6340visible light communicationvisible light positioningsensor datasmart cities |
| spellingShingle | Baozhu Yu Xiangyu Liu Lei Guo Xuetao Wei Song Song Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities Sensors visible light communication visible light positioning sensor data smart cities |
| title | Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities |
| title_full | Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities |
| title_fullStr | Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities |
| title_full_unstemmed | Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities |
| title_short | Fasys: Visible-Light-Based Communication and Positioning Services towards Smart Cities |
| title_sort | fasys visible light based communication and positioning services towards smart cities |
| topic | visible light communication visible light positioning sensor data smart cities |
| url | https://www.mdpi.com/1424-8220/23/14/6340 |
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