Packet-level analysis of wireless network performance at the University of Calabar, Nigeria - High-density usage in developing country contexts
# Internet Performance at UNICAL, Nigeria
## Packet-Level Analysis of Wireless Network Performance
### 📊 Key Findings
| Metric | Value | Implication |
|--------|-------|-------------|
| **Average Throughput** | 0.52 Mbps | 99% below theoretical maximum |
| **Collision Probability** | 20.62% | Severe channel contention |
| **Retransmission Rate** | 7.16% | Significant packet loss |
| **Network Efficiency** | 58.30% | High protocol overhead |
| **Packets Analyzed** | 508,163 | Large sample size |
| **Capture Duration** | 99 minutes | Extensive measurement |
### 🎯 Research Questions
1. What is actual throughput in high-density university networks?
2. How do collisions correlate with throughput degradation?
3. What is the efficiency gap in infrastructure-constrained environments?
4. What optimizations can improve performance?
### 📁 Repository Structure
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Internet-Performance-UNICAL/
├── data/ # Raw packet captures (anonymized)
├── scripts/ # Analysis and visualization code
├── results/ # All generated CSV outputs (7 files)
├── figures/ # Publication-ready figures (5 files)
└── docs/ # Documentation
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### 🚀 Quick Start
\\\ash
# Install dependencies
pip install -r requirements.txt
# Run analysis
python scripts/pcap_analyzer.py
# Generate visualizations
python scripts/visualize_analysis.py
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### 📈 Results Summary
- **Throughput:** 0.52 Mbps average (99% degradation)
- **Collisions:** 20.62% actual vs 5.78% potential
- **Retransmissions:** 7.16% rate (36,384 packets)
- **Efficiency:** 58.30% (41.7% waste)
### 🔬 Methodology
Packet capture conducted at University of Calabar library during peak hours:
- Duration: 99 minutes
- Packets: 508,163
- Unique flows: 2,058
- Analysis: Python (pandas, numpy, matplotlib, seaborn)
### 📝 Citation
If you use this work, please cite:
\\\ibtex
@misc{uguru2024internet,
author = { {Okoro, Osahon},
title = {Internet Performance in H …