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Design and Hardware Performance of a LoRa-Based Vehicle Tracking System with Local Data Storage Infrastructure

This paper presents the design and field evaluation of a standalone, LoRa-based vehicle tracking system using custom Heltec ESP32 nodes and local data storage, demonstrating robust long-range performance in suburban environments and viable, though more challenged, operation in dense urban areas through optimized hardware integration and transmission scheduling.

Original authors: Alejandro H. Espera, Jenith L. Banluta, Princess Camille L. Abar, Gabrielle John N. Undangan, April M. Salazar

Published 2026-07-03
📖 5 min read🧠 Deep dive

Original authors: Alejandro H. Espera, Jenith L. Banluta, Princess Camille L. Abar, Gabrielle John N. Undangan, April M. Salazar

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine you have a fleet of delivery trucks, and you want to know exactly where they are at all times. Usually, you'd pay a monthly fee to a big phone company to use their cell towers for this, or rely on a complex internet system called "LoRaWAN" that needs a cloud server to work.

This paper describes a team from Ateneo de Davao University who built their own self-contained tracking system that doesn't need the internet or monthly fees. Think of it like building your own private "walkie-talkie" network just for your vehicles.

Here is the simple breakdown of how they did it and what they found:

1. The Hardware: The "Tracker" and the "Station"

  • The Vehicle Tracker: They built a small box for each car. Inside, they used a clever chip (Heltec WiFi LoRa 32) that acts like a brain and a radio combined. It also has a GPS module (like a tiny satellite receiver) to know the car's location.
    • The Analogy: Imagine a messenger pigeon that carries a GPS map. The pigeon (the chip) is small, battery-powered, and sits on the car.
    • The Antenna: They made sure the antenna (the part that sends the signal) stuck out of the car, like a flag on a roof, so the metal car body wouldn't block the signal.
  • The Central Station: They set up one big receiver on a tall building. This station has a much bigger, stronger antenna (like a lighthouse beam) to catch the messages from the cars.
    • The Analogy: This is the "home base" where all the pigeons fly back to. Instead of sending data to a giant cloud server, the data goes straight to a laptop sitting right there in the building.

2. The Problem: Too Many Messengers Talking at Once

If you have five cars, and they all try to shout their location at the exact same time, their voices will crash into each other, and no one will hear anything. This is called a "collision."

To fix this, the team tried three different ways to organize the messengers:

  1. The "Chaos" Method: Everyone shouts every 5 seconds, no matter what. Result: A mess. The signals crashed, and many messages were lost.
  2. The "Random" Method: Everyone shouts every 5 seconds, but they add a little bit of random delay (like 4.2 seconds or 5.8 seconds). Result: Better, but sometimes they still crashed into each other by bad luck.
  3. The "Traffic Light" Method (TDMA): This was the winner. The central station acts like a traffic cop. It sends a "beacon" signal that says, "Okay, Car A, you talk now. Car B, you wait 2 seconds. Car C, you wait 4 seconds."
    • The Result: No crashes! Every car got heard. The trade-off was that the updates weren't instant (there was a tiny delay while waiting for your turn), but the data was reliable.

3. The Field Test: Open Roads vs. City Streets

They tested their system in two very different places in Davao City:

  • The Suburban Highway (The Open Field):
    • The Setup: A long, open road with few buildings.
    • The Result: The system worked like a charm. The "pigeons" could fly as far as 4.5 kilometers away, and the "home base" heard almost everything (about 90% of messages). It was like shouting across a quiet field; the sound carried far.
  • The Downtown City (The Concrete Canyon):
    • The Setup: Narrow streets with tall buildings blocking the view.
    • The Result: The buildings acted like walls, blocking and bouncing the signals. The range dropped to about 1 to 1.5 kilometers. The system still worked, but it was "noisier" and lost more messages (dropping to about 70–80% reliability). It was like trying to shout across a busy, crowded market; the buildings muffled the sound.

4. The Big Takeaways

  • You don't need the internet: You can build a tracking system that works entirely on your own property or city block without paying a phone company.
  • Height matters: Putting the receiver antenna high up (on a roof) made a huge difference. It's like standing on a chair to see over a fence; it helped the signal travel further.
  • Order is key: If you have multiple vehicles, you must schedule when they talk (like the "Traffic Light" method), or they will just talk over each other.
  • It's not perfect everywhere: While it works great in open areas, tall buildings in cities are still a challenge. The system works in the city, but you might need more receivers or repeaters to cover every single alleyway.

In short: The team proved that with some clever hardware design and a simple "traffic cop" system for the radio signals, you can track vehicles over long distances for free, without relying on the internet. It's a low-cost, DIY solution that works surprisingly well, especially when the road is clear.

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