LPWAN-Based Vehicular Monitoring Platform with a Generic IP Network Interface

Area of Science:

• Internet of Things (IoT)
• Wireless Communication Technologies
• Vehicular Systems

Background:

• Remote vehicle monitoring is gaining traction with IoT advancements.
• Low Power-Wide Area Network (LPWAN) offers long-range, low-energy communication ideal for IoT.
• Existing solutions may not fully leverage LPWAN for comprehensive vehicular data transmission.

Purpose of the Study:

• To develop and evaluate an LPWAN-based platform for real-time remote vehicle monitoring.
• To integrate On-Board Diagnostics II (OBD-II) data retrieval with efficient data compression for constrained networks.
• To demonstrate a cloud-based data visualization system for vehicular status.

Main Methods:

• Utilized Long Range Wide Area Network (LoRaWAN) for LPWAN communication.
• Implemented an On-Board Diagnostics II (OBD-II) interface for vehicle data acquisition.
• Developed a novel IETF compression scheme for data transmission over LoRaWAN.
• Created a UNIX-based network interface for LPWAN and a cloud-hosted web dashboard for data visualization.

Main Results:

• Successfully demonstrated real-time remote tracking of vehicle status in a university campus environment.
• Achieved high reliability with packet delivery ratios exceeding 95%.
• Validated the platform's capability for efficient data transmission over constrained LoRaWAN links.

Conclusions:

• The developed LPWAN-based platform effectively enables remote vehicle monitoring with high reliability.
• The system supports various applications including failure prediction, fleet management, and traffic monitoring.
• The platform is extensible to power-constrained light vehicles.