Forecasting Global Network Traffic Trends: The Role of Virtual Reality


Abstract views: 6 / PDF downloads: 16

Authors

  • Raghad H. AlShekh University of Mosul
  • Qutaiba I. Ali University of Mosul

Keywords:

Emerging Technologies, Virtual Reality, UDP, Modelling, Performance

Abstract

Virtual Reality (VR) technology is a network intensive application, which needs reliable
network performance for smooth and real like simulation. This study concentrates on the direct, simple
and effective utilization of the User Datagram Protocol (UDP) Ethernet communication for VR system to
investigate the networks that support the virtual environment.
To investigate the varied dependencies between the network parameters, the study performed the fcable
length test, data rate test, packet processing rate PPR test. Researchers strove to identify the various
advantages and disadvantages of UDP Ethernet communication of VR applications from the standpoint of
the performance factors.
Advanced graphical techniques were applied for visual representation of the presented multi-scalar
dependency of network properties and systems performance indices. The study enabled insight into the
relationship between proportions of cable length and data transmission parameters to actual operational
speed or delay or stability of the particular network.
The results may be informative and helpful for not only the people who work in the development of the
VR system but also the network engineers, while UDP Ethernet is raised as a fast and low overhead
communication strategy. In this way, considering the basic ideas of performance properties and
optimizations, researchers can design systems of virtual reality networks that are more vital for a user.
Therefore, it presents practical contributions to the on-going and upcoming advancement of technology
based VR communication support and a deeper comprehension of the network performance enhancement
approaches.

Downloads

Download data is not yet available.

Author Biographies

Raghad H. AlShekh, University of Mosul

Environmental Technologies/College of Environmental Science, Iraq

Qutaiba I. Ali, University of Mosul

Computer Engineering/College of Engineering, Iraq

References

T. Mirza, N. Tuli, and A. Mantri, “Virtual Reality, Augmented Reality, and Mixed Reality Applications: Present Scenario,” 2022 2nd Int. Conf. Adv. Comput. Innov. Technol. Eng. ICACITE 2022, pp. 1405–1412, 2022, doi: 10.1109/ICACITE53722.2022.9823482.

Q. Ibrahim, “Design, implementation and optimisation of an energy harvesting system for vehicular ad hoc networks’ road side units,” IET Intell. Transp. Syst., vol. 8, no. 3, pp. 298–307, 2014, doi: 10.1049/iet-its.2012.0206.

A. Hayes, L. A. Daughrity, and N. Meng, “Approaches to Integrate Virtual Reality into K-16 Lesson Plans: an Introduction for Teachers,” TechTrends, vol. 65, no. 3, pp. 394–401, 2021, doi: 10.1007/s11528-020-00572-7.

E. Bottani and G. Vignali, “Augmented reality technology in the manufacturing industry: A review of the last decade,” IISE Trans., vol. 51, no. 3, pp. 284–310, 2019, doi: 10.1080/24725854.2018.1493244.

H. Orsolits, S. F. Rauh, and J. G. Estrada, “Using mixed reality based digital twins for robotics education,” Proc. - 2022 IEEE Int. Symp. Mix. Augment. Real. Adjunct, ISMAR-Adjunct 2022, pp. 56–59, 2022, doi: 10.1109/ISMAR-Adjunct57072.2022.00021.

S. Lazim Qaddoori and Q. I. Ali, “An embedded and intelligent anomaly power consumption detection system based on smart metering,” IET Wirel. Sens. Syst., vol. 13, no. 2, pp. 75–90, 2023, doi: 10.1049/wss2.12054.

P. Bhattacharya et al., “Towards Future Internet: The Metaverse Perspective for Diverse Industrial Applications,” Mathematics, vol. 11, no. 4, pp. 1–41, 2023, doi: 10.3390/math11040941.

H. M. MOHAMMED and Q. I. ALI, “E-Proctoring Systems: A Review on Designing Techniques, Features and Abilities Against Threats and Attacks,” Quantum J. Eng. Sci. …, vol. 3, no. 2, pp. 14–30, 2022, [Online]. Available: https://www.qjoest.com/index.php/qjoest/article/view/66%0Ahttps://www.qjoest.com/index.php/qjoest/article/download/66/47.

H. Ajmera and B. Gonen, “Virtual Reality in Health Care,” 2020 Int. Conf. Comput. Netw. Commun. ICNC 2020, pp. 51–55, 2020, doi: 10.1109/ICNC47757.2020.9049769.

F. Guo, F. R. Yu, H. Zhang, H. Ji, V. C. M. Leung, and X. Li, “An Adaptive Wireless Virtual Reality Framework in Future Wireless Networks: A Distributed Learning Approach,” IEEE Trans. Veh. Technol., vol. 69, no. 8, pp. 8514–8528, 2020, doi: 10.1109/TVT.2020.2995877.

L. M. Ortega, J. M. Jurado, J. L. L. Ruiz, and F. R. Feito, “Topological data models for virtual management of hidden facilities through digital reality,” IEEE Access, vol. 8, pp. 62584–62600, 2020, doi: 10.1109/ACCESS.2020.2984035.

V. Parthasarathy, A. A. Simiscuka, N. O’Connor, and G. M. Muntean, “Performance Evaluation of a Multi-User Virtual Reality Platform,” 2020 Int. Wirel. Commun. Mob. Comput. IWCMC 2020, pp. 934–939, 2020, doi: 10.1109/IWCMC48107.2020.9148390.

C. Huang, W. Zhang, and L. Xue, “Virtual reality scene modeling in the context of Internet of Things,” Alexandria Eng. J., vol. 61, no. 8, pp. 5949–5958, 2022, doi: 10.1016/j.aej.2021.11.022.

D. Ververidis, S. Nikolopoulos, and I. Kompatsiaris, “A Review of Collaborative Virtual Reality Systems for the Architecture, Engineering, and Construction Industry,” Architecture, vol. 2, no. 3, pp. 476–496, 2022, doi: 10.3390/architecture2030027.

S. Safikhani, S. Keller, G. Schweiger, and J. Pirker, “Immersive virtual reality for extending the potential of building information modeling in architecture, engineering, and construction sector: systematic review,” Int. J. Digit. Earth, vol. 15, no. 1, pp. 503–526, 2022, doi: 10.1080/17538947.2022.2038291.

K. Zhang, X. Zhao, X. Li, X. Y. You, and Y. Zhu, “Network Traffic Prediction via Deep Graph-Sequence Spatiotemporal Modeling Based on Mobile Virtual Reality Technology,” Wirel. Commun. Mob. Comput., vol. 2021, 2021, doi: 10.1155/2021/2353875.

K. Yu et al., “Mixed Reality 3D Teleconsultation for Emergency Decompressive Craniotomy: An Evaluation with Medical Residents,” Proc. - 2023 IEEE Int. Symp. Mix. Augment. Reality, ISMAR 2023, pp. 662–671, 2023, doi: 10.1109/ISMAR59233.2023.00081.

A. Adetunla, E. Akinlabi, T. C. Jen, I. P. Okokpujie, and S. S. Ajibade, “A review on the Challenges and Prospects in Harnessing Virtual Reality in Education,” Int. Conf. Sci. Eng. Bus. Driv. Sustain. Dev. Goals, SEB4SDG 2024, pp. 1–5, 2024, doi: 10.1109/SEB4SDG60871.2024.10630094.

Q. I. Ali, “An efficient simulation methodology of networked industrial devices,” 2008 5th Int. Multi-Conference Syst. Signals Devices, SSD’08, no. August, 2008, doi: 10.1109/SSD.2008.4632835.

R. Weerawarna, “TCP / UDP Network Performance Evaluation of Various IPSec Algorithms,” 2013.

S. Salehi, A. Alnajim, X. Zhu, M. Smith, C.-C. Shen, and L. Cimini, “Traffic Characteristics of Virtual Reality over Edge-enabled Wi-Fi Networks,” pp. 1–9, 2020, [Online]. Available: http://arxiv.org/abs/2011.09035

R. I. T. Da Costa Filho et al., “Predicting the performance of virtual reality video streaming in mobile networks,” Proc. 9th ACM Multimed. Syst. Conf. MMSys 2018, pp. 270–283, 2018, doi: 10.1145/3204949.3204966.

Q. I. Ali, “Green communication infrastructure for vehicular ad hoc network (VANET),” J. Electr. Eng., vol. 16, no. 2, pp. 58–67, 2016.

F. Bruni et al., “Beyond traditional training: Integrating data from semi-immersive VR dual-task intervention in Parkinsonian Syndromes. A study protocol,” PLoS One, vol. 19, no. 2 February, pp. 1–13, 2024, doi: 10.1371/journal.pone.0294199.

Downloads

Published

2024-12-07

How to Cite

AlShekh, R. H., & Ali, Q. I. (2024). Forecasting Global Network Traffic Trends: The Role of Virtual Reality. International Journal of Advanced Natural Sciences and Engineering Researches, 8(11), 183–193. Retrieved from https://as-proceeding.com/index.php/ijanser/article/view/2278

Issue

Section

Articles