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@article{180199,
        author = {Dr. Somu. K and Mayeel. A and Ragu.R and Sabari.P and Vigneshkumar.R and Yogeshwaran.S},
        title = {Enhancing Highway Bridge Safety Through Advanced Wireless Sensor Network Based Monitoring and Maintenance System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {795-801},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180199},
        abstract = {Highway bridge safety is a critical concern for modern infrastructure management. Wireless Sensor Networks (WSNs) have emerged as vital tools for real-time monitoring and predictive maintenance of bridges. The proposed system improves bridge reliability and public safety by fusing advanced sensing, Machine Learning, and energy-efficient technologies. This contribution implements three key mechanisms to address the primary challenges. Real-time structural health monitoring uses Particle Swarm Ant optimized with Energy Harvesting (PSAO-EH) algorithm to optimize energy usage in a sensor network, recording and monitoring sensor measurements to detect structural irregularities in real-time. An energy-efficient wireless monitoring platform with energy harvesting algorithms increases network longevity by reducing power consumption at sensor nodes. In addition, a Long Term with Real-Time Structural Health Monitoring (LT-RTSHM)-based model effectively handles time-series sensor data, improving anomaly detection and forecasting performance. Meanwhile, the Predictive Maintenance based Extreme Gradient Boosting (PM-XGBoost) model analyzes bridge damage and avoids unplanned failures. Simulation outcomes prove that the suggested system attains more than 94% accuracy in fault detection, increases network lifetime by 98%, and provides speedy and reliable communication for emergency notifications. Real-time monitoring, predictive intelligence, and energy-conscious communication considerably enhance highway bridge safety and operational effectiveness.},
        keywords = {Bridge Safety, WSN, Real-Time Monitoring, Predictive Maintenance, Energy Harvesting, LSTM.},
        month = {June},
        }