Integration of YOLO-RTLite with Wireless Sensor Network ‎Simulation in OMNeT++‎

  • Authors

    • Manjot Kaur Research Scholar, Department of Computer Science, Punjabi University, Patiala
    • Rajneesh Randhawa Assistant Professor, ‎Department of Computer Science, Punjabi University, Patiala
    • Jagroop Kaur Associate Professor, Department of Computer ‎Science and Engineering, Punjabi University, Patiala
    https://doi.org/10.14419/rtjzhc70

    Received date: August 1, 2025

    Accepted date: September 9, 2025

    Published date: September 17, 2025

  • Alert Generation; OMNeT++; Object Detection; Real-Time Simulation; Wireless Sensor Network

  • Abstract

    Real-time decision-making in smart surveillance and traffic management systems requires ‎efficient coordination between visual detection components and wireless sensor networks. In ‎this context, the authors propose an integrated simulation framework that connects YOLO-‎YOLO-YOLO-RTLite-based object detection with a wireless sensor network. The WSN is simulated in ‎OMNeT++, using MQTT as the communication protocol for sending alerts. The system is meant ‎for curved or blind road sections. It uses an object detector on one side to warn vehicles on the ‎other side about oncoming hazards. The framework is evaluated based on metrics such as end-‎to-end delay, throughput, system stability, and alert reliability. Results confirm the system’s ‎ability to function consistently under real-time constraints. A significant contribution of this ‎work is the novel integration of live visual input from YOLO with OMNeT++ simulations, ‎enabling event-driven behavior in WSN triggered by actual object detections‎.

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  • How to Cite

    Kaur, M. ., Randhawa, R. ., & Kaur, J. . (2025). Integration of YOLO-RTLite with Wireless Sensor Network ‎Simulation in OMNeT++‎. International Journal of Basic and Applied Sciences, 14(5), 659-663. https://doi.org/10.14419/rtjzhc70