• A Lekha Sri
• S Thirupathamma
• M Sasi Madhuri
• CH Kishor Kumar
• I Raja Rao

Network simulation is critical for assessing and projecting the performance of Industrial Internet of Things (IIoT) deployments, as it reduces the complications that come with real-world test environments. However, simulations of large-scale networks with complex protocols such as Transmission Control Protocol (TCP) have difficulties due to chaos-theory behavior, which allows small modifications in protocol implementation or simulator parameters to result in considerable discrepancies in performance outcomes. In this study, we simulate two distinct scenarios using three different simulators: one focusing on the In-cast phenomenon in a local area network for sensor data collection, and the other on a congested link handling collected measurements. Comparative analysis of performance metrics obtained from these simulators and real-world experiments underscores the impact of subtle implementation discrepancies on simulation results. This study highlights the necessity for network engineers to account for such variations to ensure accurate performance evaluation in IIoT environments.

Network simulation, Industrial Internet of Things (IIoT), TCP, chaos theory, performance evaluation, Incast phenomenon, congestion, reproducibility

"Understanding The Impact Of Tcp Behavior in Network Simulation for IIOT Environments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.j433-j444, April-2024, Available :http://www.jetir.org/papers/JETIR2404958.pdf

"Understanding The Impact Of Tcp Behavior in Network Simulation for IIOT Environments", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppj433-j444, April-2024, Available at : http://www.jetir.org/papers/JETIR2404958.pdf