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CA-Intel Performance Evaluation Raw Data
- Citation Author(s):
- Submitted by:
- Luhan Wang
- Last updated:
- Tue, 09/10/2024 - 13:35
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Abstract
In the conducted experiments using the ns-3 simulator, the performance of the Collision-Aware-Intel (CA-Intel) algorithm was evaluated under varying conditions to simulate different causes of frame errors. Key data points include:
1. Number of Clients (Transmitters): The number of clients varied between 1 and 6 to create different levels of network congestion and induce collisions. For a single client, errors were primarily attributed to poor SNR. As the number of clients increased, collision-induced errors became more prevalent.
2. Transmit Power: The transmission power was varied across six levels, from +10 dBm to -10 dBm. At 10 dBm, frame errors were primarily caused by collisions due to the high signal strength. In contrast, at lower power levels, errors were primarily caused by poor SNR, and a combination of both factors was observed in intermediate cases.
3. Traffic Configuration: Up-link UDP traffic was used for transmission testing, with a frame size of 1000 bytes and a frame interval of 10 µs. The experiments also incorporated A-MPDU frame aggregation, which allowed multiple frames to be transmitted in a single burst to enhance throughput and MAC efficiency.
The dataset consists of PCAP files collected through ns-3 simulations to evaluate the performance of the Collision-Aware-Intel (CA-Intel) algorithm under varying network conditions. Each PCAP file represents traffic captured with different numbers of clients (ranging from 1 to 6) and varying transmission power settings (from +10 dBm to -10 dBm). The data includes detailed packet information such as timestamps, source and destination addresses, protocols, and packet sizes. These files can be analyzed to compute metrics such as throughput, frame error rate (FER), and collision detection, providing insights into CA-Intel's performance in high-density wireless environments.
Comments
This dataset contains PCAP files generated from ns-3 simulations. The data captures network traffic under different conditions, with varying numbers of clients (1 to 6) and transmission power settings (from +10 dBm to -10 dBm). Each file is labeled according to the specific client count and transmission power used in that simulation. The data is primarily used to analyze throughput, frame error rates (FER), and collision detection for the evaluation of the Collision-Aware-Intel (CA-Intel) algorithm.
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