About VantEdge

RF Noise Mapping in Campus Environment • IEEE AP-S Project

1. About the Team

Team VantEdge – IEEE AP-S (BMSIT&M)

JK

Jishnu K

1BY24EC069

CR

Chinmay Ravindra Gowda

1BY24EC037

AP

Arnav Paniya

1BY24EC026

AS

Adithya S P

1BY24EC007

Areas of Contribution

Hardware DesignFirmware DevelopmentDashboard UI/UXData ProcessingResearch & Documentation

2. About the Project

VantEdge is a cutting-edge initiative designed to address the invisible challenge of Radio Frequency (RF) noise in educational campuses. Our system utilizes a network of ESP32-based multi-node sensor devices to monitor, log, and visualize RF noise levels, interference, and signal strength across the BMSIT&M campus.

Why this matters: As wireless dependency grows, signal interference becomes a critical bottleneck for connectivity. Our solution helps network administrators optimize WiFi networks, identify dead zones, and detect interference-heavy areas, enabling data-driven smart-campus planning.

Approach: The system deploys multiple portable nodes equipped with GPS for automatic geotagging. Data is stored locally on SD cards for redundancy and uploaded to the cloud for real-time processing. The result is an interactive dashboard that provides a live heatmap of the RF environment.

Key Features: Portable • Low-cost • Battery Powered • Future-ready

3. Components Used

  • ESP32 NodeMCU: The core microcontroller responsible for WiFi scanning and data processing.
  • NEO-6M GPS Module: Enables automatic geotagging of every signal reading for precise mapping.
  • SD Card Module: Provides dual storage capability, ensuring data is saved even without internet connectivity.
  • Antenna (2.4 GHz): Enhances RF reception sensitivity for more accurate noise detection.
  • Li-ion Battery + Charge Controller: Ensures the system is fully portable and rechargeable.
  • OLED Display (SSD1306): Shows live device statistics and connection status in the field.
  • Solar Support: Designed with future-ready power inputs for sustainable operation.
System circuit diagram – ESP32-based RF monitoring unit

“System circuit diagram – ESP32-based RF monitoring unit.”

4. Real-World Applications

Campus-wide RF noise heatmapping

Detecting poor WiFi zones

Identifying interference-heavy areas

Improving network planning for events/exams

Research & lab demonstrations

Deployable in smart cities, malls, & airports

5. How the System Works (Technical Flow)

Step 1: SensingMultiple ESP32 nodes gather RSSI, noise floor, and signal strength data.
Step 2: TaggingGPS module auto-tags each measurement with precise latitude/longitude.
Step 3: StorageData is stored locally on SD cards and simultaneously uploaded to the cloud.
Step 4: VisualizationThe dashboard processes the data to build real-time heatmaps and analytics.

6. What Makes Our Solution Unique (UVP)

Cost & Efficiency

Significantly lower cost than bulky industrial RF survey tools, making it accessible for educational and research purposes.

Automation

Automatic GPS tagging eliminates manual errors (unlike older manual methods), ensuring high-fidelity data.

Resilience

Works offline due to SD card redundancy and features long battery life with future solar support.

Scalability

Multi-node simultaneous sensing allows for rapid coverage of large campuses. Fully open-source for research.