Abstract :

Modern Automotive Safety Systems Increasingly Require A Synergy Between Local Real-time Response And Remote Data Persistence. This Research Presents The Design And Implementation Of A Robust, Dual-node Vehicular Diagnostic (DNVD) System Utilizing The Controller Area Network (CAN) Protocol Integrated With Cloud-based IoT Services. The System Architecture Employs Two ESP32 Microcontrollers Communicating Via The MCP2515 CAN Interface To Ensure High-speed, Noise-resistant Data Transmission Within The Vehicle Environment. The First Node, Designated As The Sensor Acquisition Unit, Interfaces With A Suite Of Sensors Including DHT11 For Cabin Climate, Ultrasonic Sensors For Proximity Detection, And Digital Switches For Seatbelt And Vibration Monitoring. This Data Is Encapsulated Into 8-byte CAN Frames And Transmitted At 500 KBPS. The Second Node, Acting As The Gateway Receiver, Decodes The Bus Traffic To Trigger Local Haptic Alerts (buzzers) Based On Safety Threshold Violations, Such As Excessive Vibration Or Unfastened Seatbelts. Simultaneously, This Node Serves As An IoT Bridge, Utilizing A Wi-Fienabled HTTP Protocol To Push Processed Vehicle Health Data To A Centralized PHP-based Server For Longitudinal Analysis. Experimental Results Demonstrate That The Implementation Of The CAN-IoT Hybrid Architecture Significantly Reduces The Processing Load On The Primary Sensor Node While Ensuring A 100% Data Delivery Rate To The Cloud. This Study Concludes That The Proposed Framework Offers A Scalable, Lowcost Solution For Enhancing Vehicle Safety And Fleet Management Through Real-time Telemetry And Edgebased Diagnostic Logic. Keywords: Vehicle Health Monitoring, CAN Bus Protocol, IoT Telemetry, ESP32 Microcontroller, MCP2515 Interface.

Published:

01-4-2026

Issue:

Vol. 26 No. 4 (2026)

Page Nos:

46-55

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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