Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/142888
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dc.contributor.authorYang, Helinen_US
dc.contributor.authorZhong, Wen-Deen_US
dc.contributor.authorChen, Chenen_US
dc.contributor.authorAlphones, Arokiaswamien_US
dc.contributor.authorDu, Pengfeien_US
dc.date.accessioned2020-07-07T05:34:57Z-
dc.date.available2020-07-07T05:34:57Z-
dc.date.issued2019-
dc.identifier.citationYang, H., Zhong, W.-D., Chen, C., Alphones, A., & Du, P. (2020). QoS-driven optimized design-based integrated visible light communication and positioning for indoor IoT networks. IEEE Internet of Things Journal, 7(1), 269-283. doi:10.1109/JIOT.2019.2951396en_US
dc.identifier.issn2327-4662en_US
dc.identifier.urihttps://hdl.handle.net/10356/142888-
dc.description.abstractWith the rapid development of the Internet of Things (IoT) in the smart city, smart grid, and smart industry, indoor communication and positioning are important for IoT. However, radio-frequency (RF)-based wireless networks may fail to guarantee different quality-of-service (QoS) requirements of devices, due to the limited bandwidth, severe interference, and multipath reflections. Hence, this article presents a new integrated visible light communication (VLC) and VLC positioning (VLCP) network for IoT to provide both high-speed communication and high-accuracy positioning services. As the network consists of multiple VLC access points (APs), we propose jointly optimizing the AP selection, bandwidth allocation, adaptive modulation, and power allocation approach to satisfy different QoS requirements of indoor devices while maximizing the network data rate. A low-complexity iterative algorithm is presented to solve the resource management (RM) optimization problem by decomposing it into two subproblems. Finally, a robust handover mechanism and a pedestrian dead reckoning (PDR)-assisted VLCP scheme are presented to maintain good performance under line-of-sight (LOS) blockages. The simulation results verify that the proposed solutions outperform other existing solutions in terms of effectively enhancing the data rate, improving the positioning accuracy, and guaranteeing devices' QoS requirements. In detail, the mean position error is reduced from 20 to 4.3 cm by using our presented integrated VLCP model. The proposed RM approach achieves a satisfied QoS level improvement of up to 20.3% compared with the non-QoS-driven RM approach, and it achieves the high data rate up to 1.31 Gb/s.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Internet of Things Journalen_US
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/JIOT.2019.2951396en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleQoS-driven optimized design-based integrated visible light communication and positioning for indoor IoT networksen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.researchSingapore Institute of Manufacturing Technologyen_US
dc.identifier.doi10.1109/JIOT.2019.2951396-
dc.description.versionAccepted versionen_US
dc.identifier.issue1en_US
dc.identifier.volume7en_US
dc.identifier.spage269en_US
dc.identifier.epage283en_US
dc.subject.keywordsInternet of Things (IoT)en_US
dc.subject.keywordsLink Blockageen_US
item.fulltextWith Fulltext-
item.grantfulltextopen-
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