Research Article IoT-Based Anti-Theft GPS Tracking System for Real-Time Vehicle Monitoring

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 16 | 01 | Page :
    By

    Omkar Ramesh Tupke,

  • Kunal Dipak Randhawane,

  • Gaurav Sudhakar Zalte,

  • Vaibhav Navnath Arane,

  • Vivek Vilas Bagal,

  • Naveen Kumar,

  1. Student, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  2. Student, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  3. Student, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  4. Student, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  5. Student, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharashtra, India
  6. Assistant Professor, Mechatronics Engineering Department, Sanjivani College of Engineering, Kopargaon, Maharashtra, India

Abstract

For the last six decades, advances in global positioning systems (GPS) technology for tracking vehicles have greatly enhanced their ability to secure, monitor, and track vehicles. However, many of the conventional and traditional methods using GPS to track vehicles have been limited by the scope of their/its operational communication range. This has reduced their effectiveness in terms of being able to track those vehicles once they are out of the limits of the original areas in which they were set to be tracked. Therefore, an IoT / GPS-based real-time positioning system was developed and based on a range-independent method of tracking the vehicle. The vehicle tracking system consists of four main components: a GSM SIM800L communication module, a GPS Neo-6M receiver module, an Arduino Uno microcontroller, and an active SIM card. Each device provides input data to be used for computing the current geographic location (i.e., latitude and longitude) of the vehicle. The GPS module obtains a precise latitude and longitude from the GPS system, and the GSM module transmits this data instantaneously to the Android smartphone of the vehicle owner for continuous tracking, as long as there is a network connection from the vehicle. Not only does the system offer tracking capabilities, but it is also encased in a uniquely engineered case to reduce vibration and shock impact, as well as to protect against environmental stresses, which enhances durability of the electronics inside the case and increases reliability over time. Further, through an integration of real-time communication and rugged hardware design, the tracking solution helps improve vehicle security. This tracking solution helps prevent theft, while also providing parents with a tool to monitor their children while they drive and to promote safe driving.

Keywords: GPS tracking, IoT, Anti-theft system, Real-time monitoring, Vehicle security, Arduino Uno

How to cite this article:
Omkar Ramesh Tupke, Kunal Dipak Randhawane, Gaurav Sudhakar Zalte, Vaibhav Navnath Arane, Vivek Vilas Bagal, Naveen Kumar. Research Article IoT-Based Anti-Theft GPS Tracking System for Real-Time Vehicle Monitoring. Journal of Communication Engineering & Systems. 2026; 16(01):-.
How to cite this URL:
Omkar Ramesh Tupke, Kunal Dipak Randhawane, Gaurav Sudhakar Zalte, Vaibhav Navnath Arane, Vivek Vilas Bagal, Naveen Kumar. Research Article IoT-Based Anti-Theft GPS Tracking System for Real-Time Vehicle Monitoring. Journal of Communication Engineering & Systems. 2026; 16(01):-. Available from: https://journals.stmjournals.com/joces/article=2026/view=242027


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Ahead of Print Subscription Review Article
Volume 16
01
Received 21/01/2026
Accepted 24/02/2026
Published 14/04/2026
Publication Time 83 Days
41

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