TARU PUBLICATIONS
Journal of Information and Optimization Sciences cover

Journal of Information and Optimization Sciences

(Since 1980)
Open Access ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

Powered by:Powered by

Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
submissions@tarupublications.com
Taru Online First Current IssueSpecial IssuesBrowse all Issues
Journal of Information and Optimization Sciences
Open Access Research Article

Optimized GTS allocation strategies for enhanced performance in IEEE 802.15.7 based VLC networks

, * , , , , ,

* Corresponding author · click or hover a name for details

pp. 25–32Vol. 46Issue 1January 2025DOI: 10.47974/JIOS-1848XML
Received:
06 Aug 2024
Published Online:
19 Feb 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1848
Pages:
25–32

Abstract

Visible Light Communication (VLC) has emerged as a promising technology for high-speed wireless communication, which employs the visible spectrum to transmit information. As the title indicates, IEEE 802.15.7 is a new standard dedicated to VLC networks that introduces specializations that match the characteristics and needs of this medium. In VLC networks, one of the key challenges is scheduling Guaranteed Time Slots (GTS) efficiently for better network performance and minimum end-to-end delay while delivering reliable data. The aim of this review paper is to give a detailed overview of the state-of-the-art, in terms of different types GTS allocation strategies within IEEE 802.15.5 network by performing an exhaustive analysis and discussion on each broad category. We investigate, at first, the basic concepts of GTS allocation and then how it plays an important role in increasing the Quality of Service (QoS) level for various VLC applications. In our paper, we explore current GTS allocation methods and evaluate their effectiveness in dynamic network conditions based on how scalable and adaptive they are. In addition, we study how different network parameters like throughput delay and energy consumption are affected by the choice of allocation. Challenges and limitations in practical implementations, such as interference management, mobility support, and synchronization issues are discussed. Besides, we also focus on some more advanced algorithms and optimal solutions that have been suggested to overcome these issues in order to improve the overall performance of VLC networks. This paper consolidates the recent advances and ongoing research in this area, to serve as a useful source of information for researchers/practitioners interested in designing effective GTS allocation mechanisms over IEEE 802.15.7 based VLC networks that are both reliable, and energy efficient. This study then offers some future research directions, including how to use machine learning techniques in an integrated manner and realize cross-layer optimization for better efficiency and adaptability on GTS allocation over VLC-based networks.

Keywords

IEEE 802.15.7Hidden node problemCollision avoidanceCommunication reliabilityMAC layer challengesOptical wireless communicationVisible light communicationWireless networks

Subject Classifications

90B18

References

[1] J. A. O’Brien, “Visible Light Communication: A New Paradigm for High-Speed Wireless Data Transmission,” IEEE Communications Magazine, vol. 52, no. 6, pp. 39-45 (June 2023). 
[2] L. Wang, J. Wang, and H. Zhang, “Performance Analysis of GTS Allocation Strategies in IEEE 802.15.7-Based VLC Networks,” IEEE Access, vol. 8, pp. 107542-107554 (2024). 
[3] M. G. Katz, D. J. Neumark, and E. L. Macfarlane, “GTS Allocation Techniques in IEEE 802.15.7 VLC Networks: A Survey,” Journal of Optical Communications and Networking, vol. 12, no. 7, pp. 534-546 (July 2020). 
[4] Y. Liu, Y. Zhou, Z. Huang and X. Sun, “Energy-Efficient GTS Allocation Strategy for IEEE 802.15.7 VLC Networks,” IEEE Access, vol. 8, pp. 192204-192214 (2020), 
[5] J. Cheng, J. Zhang, Q. Liang and X. Shen, “Dynamic GTS Allocation Scheme for IEEE 802.15.7 VLC Networks,” IEEE Transactions on Vehicular Technology, vol. 70, no. 3, pp. 2832-2845 (March 2021), 
[6] S. Tang, X. Xu, Z. Wang and C. Liu, “QoS-Aware Resource Allocation in Hybrid RF/VLC Networks,” IEEE Transactions on Wireless Communications, vol. 20, no. 8, pp. 4994-5007, Aug. 2021, 
[7] A. Zafar, F. Akhtar, M. M. Kamran and S. Sheikh, “Performance Enhancement of IEEE 802.15.7 VLC Networks Using Optimized GTS Allocation,” IEEE Access, vol. 9, pp. 16111-16122 (2021), 
[8] Farshid, M. M. A. Shah, and A. K. Mishra, “Optimized Time Slot Allocation in VLC Networks Using Machine Learning Techniques,” IEEE Transactions on Wireless Communications, vol. 19, no. 2, pp. 1045-1057 (Feb. 2024). DOI: 10.1109/TWC.2019.2959631.
[9] K. S. Kim and M. S. Lee, “Dynamic GTS Allocation for Energy-Efficient VLC Systems,” IEEE Transactions on Communications, vol. 67, no. 3, pp. 2345-2356 (March 2023).
[10] Z. Liu, L. Yang, and Y. Wang, “Scalability Challenges in VLC Networks and Solutions,” IEEE Communications Surveys & Tutorials, vol. 22, no. 1, pp. 109-135, 1st Quarter (2020). 
[11] N. T. W. Tan, W. L. P. Ng, and H. S. K. Cheong, “Interference Management Techniques for VLC Networks,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 8, pp. 1863-1877 (Aug. 2020). 
[12] W. Wang, H. J. Lee, and K. J. Kim, “Adaptive GTS Allocation for Mobility Support in VLC Networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 9, pp. 9875-9886 (Sept. 2020).

Views: 269Downloads: 127Citations: 0