Spring 2024
ENSC 427: COMMUNICATION NETWORKS
Project Team 9:
William Shami, 301389346, wshami@sfu.ca
Christopher Olson, 301377645, cdo1@sfu.ca
Ngoc Quynh Anh Vo, 301391358, anh_vo@sfu.ca
Exploring the resilience and limitations of bluetooth networks using ns-3
Our project aims to comprehensively investigate the resilience and limitations of Bluetooth networks through the utilization of ns-3 simulation, and potentially, Wireshark analysis. The study focuses on evaluating the impact of video transmission on Bluetooth networks, assessing latency factors, determining the effective range of Bluetooth communication, and leveraging existing implemented code to streamline the simulation process. By examining past projects, the objective is to identify relevant implementations on Bluetooth networks, reducing the need for entirely scratch-built solutions.
The simulation framework, ns-3, has been selected due to its robust capabilities in modeling network protocols and its ability to simulate large-scale scenarios realistically. The choice of scenarios and metrics will be based on a systematic approach, considering factors such as network topology, mobility, and interference patterns. This project aims to contribute insights into the performance characteristics of Bluetooth networks under various conditions, providing valuable information for optimizing Bluetooth communication in real-world applications. The decision-making process behind simulation choices, scenarios, and metrics will be thoroughly explained to justify the methodological approach.
[1] L. Tian, S. Latre, and J. Famaey, “An IEEE 802.11ah simulation module for NS-3,” 2016, doi: 10.13140/RG.2.1.1378.8244.
[2] “BlueCoDE: Bluetooth coordination in dense environment for better coexistence | IEEE Conference Publication | IEEE Xplore.” Accessed: Feb. 25, 2024. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8117534
[3] Z. Hosseinkhani and M. Nabi, “BMSim: An Event-Driven Simulator for Performance Evaluation of Bluetooth Mesh Networks,” IEEE Internet of Things Journal, vol. 11, no. 2, pp. 2139–2151, Jan. 2024, doi: 10.1109/JIOT.2023.3291551.
[4] M. Chotalia and S. Gajjar, “Performance Comparison of IEEE 802.11ax, 802.11ac and 802.11n Using Network Simulator NS3,” in Computing Science, Communication and Security, N. Chaubey, S. M. Thampi, N. Z. Jhanjhi, S. Parikh, and K. Amin, Eds., in Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2023, pp. 191–203. doi: 10.1007/978-3-031-40564-8_14.
[5] H. Mari, “Simulation models for the performance analysis of bluetooth low energy in multi-device environment,” masterThesis, 2017. Accessed: Feb. 25, 2024. [Online]. Available: http://elib.uni-stuttgart.de/handle/11682/9560