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Background Traffic Simulator - The Tool for WLAN Background Traffic Generation in ns-3 Environment

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Języki publikacji
EN
Abstrakty
EN
In the paper, the BTS (Background Traffic Simulator) tool is proposed to capture network traffic and then reproduce it in a simulations using the ns-3 simulator extension module. This new method of generating background traffic allows for repetitive testing of simulation scenarios under real network conditions. The authors described the differences between the previously available methods and the proposed solution. The operation of all the most important elements of the proposed tool has been described. The influence of the generated background traffic on the simulation scenario was presented as well as the results of the operation.
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Twórcy
  • Faculty of Computer Science, Electronics and Telecommunications, Institute of Telecommunications, AGH University of Science and Technology, Poland
  • Faculty of Computer Science, Electronics and Telecommunications, Institute of Telecommunications, AGH University of Science and Technology, Poland
  • Faculty of Computer Science, Electronics and Telecommunications, Institute of Telecommunications, AGH University of Science and Technology, Poland
Bibliografia
  • [1] Nsnam, “ns-3 network simulator,” date accessed: October 27, 2022. [Online]. Available: https://www.nsnam.org/
  • [2] A. M. Voicu, L. Simić, and M. Petrova, “Modelling broadband wireless technology coexistence in the unlicensed bands,” in 2021 IEEE 22nd International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2021, pp. 129-138, https://doi.org/10.1109/WoWMoM51794.2021.00026
  • [3] N. Makris, A. D. Samaras, V. Passas, T. Korakis, and L. Tassiulas, “Measuring lte and wifi coexistence in unlicensed spectrum,” in 2017 European Conference on Networks and Communications (EuCNC), 2017, pp. 1-6, https://doi.org/10.1109/EuCNC.2017.7980769
  • [4] “iperf - the ultimate speed test tool for tcp, udp and sctp.” Date accessed: October 27, 2022. [Online]. Available: https://iperf.fr/
  • [5] Z.-J. Xu, Z.-H. Wu, F.-N. Chen, and Y. Gong, “Analyzing the wifi access probability in lte-u/wifi coexistence networks,” in 2017 IEEE Globecom Workshops (GC Wkshps), 2017, pp. 1-5, https://doi.org/10.1109/GLOCOMW.2017.8269053
  • [6] H. Fontes, R. Campos, and M. Ricardo, “Improving ns-3 emulation support in real-world networking scenarios,” EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, vol. 3, no. 9, 8 2015, https://doi.org/10.4108/eai.24-8-2015.2261074
  • [7] A. Alvarez Gonzalez, R. Orea, S. Cabrero, X. García Pañeda, R. Garcia, and D. Melendi, “Limitations of network emulation with single-machine and distributed ns-3,” Proc. 3rd int’L. ICST Conf. Simulation Tools and Techniques, p. 67, 03 2010, https://doi.org/10.4108/ICST.SIMUTOOLS2010.8630
  • [8] A. Sahu, A. Goulart, and K. Butler-Purry, “Modeling ami network for real-time simulation in ns-3,” in 2016 Principles, Systems and Applications of IP Telecommunications (IPTComm), 2016, pp. 1-8, https://doi.org/10.1109/IPTComm39427.2016.7780248
  • [9] S. M. Sheikh, H. M. Asif, K. Raahemifar, and F. Al-Turjman, “Time difference of arrival based indoor positioning system using visible light communication,” IEEE Access, vol. 9, pp. 52 113-52 124, 2021, https://doi.org/10.1109/ACCESS.2021.3069793
  • [10] P. D. Bugarcic, N. J. Jevtic, and M. Z. Malnar, “An extension of building model for indoor communication in ns-3 simulator,” in 2021 29th Telecommunications Forum (TELFOR), 2021, pp. 1-4, https://doi.org/10.1109/TELFOR52709.2021.9653272
  • [11] M. Raj, N. Chacko, J. major, and S. David, “A comprehensive overview on different network simulators,” International Journal of Engineering and Technology, vol. 5, pp. 325-332, 02 2013.
  • [12] M. Rudenkova, “A methodology of modeling the ieee 802.11 wireless lan using ns-3,” in 2020 V International Conference on Information Technologies in Engineering Education (Inforino), 2020, pp. 1-4, https://doi.org/10.1109/Inforino48376.2020.9111782
  • [13] “Ieee standard for information technology-telecommunications and information exchange between systems - local and metropolitan area networks-specific requirements - part 11: Wireless lan medium access control (mac) and physical layer (phy) specifications,” IEEE Std 802.11-2020 (Revision of IEEE Std 802.11-2016), pp. 1-4379, 2021, https://doi.org/10.1109/IEEESTD.2021.9363693
  • [14] “Ieee standard for information technology–telecommunications and information exchange between systems local and metropolitan area networks-specific requirements part 11: Wireless lan medium access control (mac) and physical layer (phy) specifications amendment 1: Enhancements for high-efficiency wlans,” IEEE Std 802.11ax-2021 (Amendment to IEEE Std 802.11-2020), pp. 1-767, 2021, https://doi.org/10.1109/IEEESTD.2021.9442429
  • [15] E. Khorov, A. Kiryanov, A. Lyakhov, and G. Bianchi, “A tutorial on ieee 802.11ax high efficiency wlans,” IEEE Communications Surveys & Tutorials, vol. 21, no. 1, pp. 197-216, 2019, https://doi.org/10.1109/COMST.2018.2871099
  • [16] M. S. Marek Natkaniec, Łukasz Prasnal, “A simulation analysis of ieee 802.11ax networks,” Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne 6: 415 - 419, 2019, https://doi.org/10.15.199/59.2019.6.63
  • [17] M. Lacage and T. Henderson, “Yet another network simulator,” Proceeding from the 2006 Workshop on Ns-2: The IP Network Simulator, 10 2006, https://doi.org/10.1145/1190455.1190467
Uwagi
1. Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
2. This research was supported by the Polish Ministry of Science and Higher Education with the subvention funds of the Faculty of Computer Science, Electronics and Telecommunications of AGH University of Science and Technology.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4bed86b8-3b43-412f-9353-e6fd22e8af2d
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