---
license: gpl
task_categories:
- text-classification
language:
- en
tags:
- telecom
- massive
- iot
- traffic
size_categories:
- 100K<n<1M
---
# Massive Internet of Things Traffic Datasets

## Dataset Description

Traffic patterns from large-scale IoT deployments

## Dataset Information

- **Category**: Emerging and Advanced
- **Format**: CSV, Parquet
- **Rows**: 500,000
- **Columns**: 14
- **Date Generated**: 2025-10-05
- **Location**: `data/massive_internet_of_things_traffic_datasets/`

## Schema

| Column | Type | Sample Values |
|--------|------|---------------|
| `deployment_id` | String | IOT00000001 |
| `timestamp` | Datetime | 2025-09-08 16:16:06 |
| `deployment_type` | String | logistics |
| `city` | String | Abeokuta |
| `tower_id` | String | ABE-9455 |
| `num_active_devices` | Integer | 430 |
| `sensor_types` | String | motion, temperature, humidity, gps |
| `total_messages_per_hour` | Integer | 5160 |
| `avg_message_size_bytes` | Integer | 161 |
| `total_data_mb_per_hour` | Float | 0.88 |
| `network_type` | String | NB-IoT |
| `battery_powered_percent` | Float | 93.59 |
| `connection_success_rate` | Float | 97.17 |
| `operator` | String | MTN |

## Sample Data

```
deployment_id           timestamp deployment_type     city tower_id  num_active_devices                         sensor_types  total_messages_per_hour  avg_message_size_bytes  total_data_mb_per_hour network_type  battery_powered_percent  connection_success_rate operator
  IOT00000001 2025-09-08 16:16:06       logistics Abeokuta ABE-9455                 430   motion, temperature, humidity, gps                     5160                     161                    0.88       NB-IoT                    93.59                    97.17      MTN
  IOT00000002 2025-09-08 04:09:24      smart_city    Enugu ENU-2778                6922 humidity, water_level, sound, motion                    20766                     447                    6.16           5G                    98.63                    95.18      Glo
  IOT00000003 2025-09-15 19:58:11       logistics      Aba ABA-2824                 333 humidity, motion, light, air_quality                     7992                     328                    2.42       NB-IoT                    70.90                    98.44   Airtel
```

## Nigerian Context

This dataset incorporates authentic Nigerian telecommunications characteristics:

- **Geographic Coverage**: Major Nigerian cities including Lagos, Abuja, Kano, Port Harcourt, Ibadan
- **Operators**: MTN, Airtel, Glo, 9mobile with realistic market shares
- **Phone Numbers**: Nigerian format (+234 prefixes)
- **Currency**: Nigerian Naira (NGN)
- **Time Zone**: West Africa Time (WAT, UTC+1)
- **Network Types**: 2G, 3G, 4G, 5G distribution

## File Formats

### CSV
```
data/massive_internet_of_things_traffic_datasets/massive_internet_of_things_traffic_datasets.csv
```

### Parquet (Recommended)
```
data/massive_internet_of_things_traffic_datasets/massive_internet_of_things_traffic_datasets.parquet
```

## Loading the Dataset

### Python (Pandas)
```python
import pandas as pd

# Load CSV
df = pd.read_csv('data/massive_internet_of_things_traffic_datasets/massive_internet_of_things_traffic_datasets.csv')

# Load Parquet (recommended for large datasets)
df = pd.read_parquet('data/massive_internet_of_things_traffic_datasets/massive_internet_of_things_traffic_datasets.parquet')
```

### Python (PyArrow)
```python
import pyarrow.parquet as pq

# Load Parquet
table = pq.read_table('data/massive_internet_of_things_traffic_datasets/massive_internet_of_things_traffic_datasets.parquet')
df = table.to_pandas()
```

## License

MIT License - For educational and research purposes

## Citation

```
Nigerian Telecom Datasets - Massive Internet of Things Traffic Datasets
Generated: 2025-10-05
Category: Emerging and Advanced
Rows: 500,000
```

## Related Datasets

This dataset is part of the Nigerian Telecom Datasets collection, which includes 34 datasets covering network performance, customer behavior, financial transactions, infrastructure, geospatial data, customer experience, and emerging technologies.