Distributed Sensors Based In-Vehicle Monitoring and Security

Abstract

This research explores the implementation and effectiveness of distributed sensors in vehicle monitoring systems. The primary objective is to design a distributed sensor network architecture that enhances real-time data collection, accuracy, and processing capabilities within vehicles. The methodology involves the integration of various sensors, such as GPS, accelerometers, and temperature sensors, strategically placed within a vehicle to gather comprehensive data on vehicle performance, environmental conditions, and driver behavior. The research encompasses the development of real-time data processing algorithms, the creation of software for data analysis, and extensive testing to evaluate system performance. Key findings indicate significant improvements in data accuracy and coverage compared to traditional centralized sensor systems. The distributed sensor network demonstrates enhanced reliability and robustness, making it suitable for various applications, including fleet management, autonomous driving, and vehicle maintenance. The implications of this study suggest that distributed sensor networks can revolutionize vehicle monitoring systems by providing better insights into vehicle conditions and driver behavior, ultimately contributing to improved transportation safety and efficiency. This research provides a foundational framework for future advancements in vehicle monitoring technologies. This research explores the implementation and effectiveness of distributed sensors in vehicle monitoring systems. The primary objective is to design a distributed sensor network architecture that enhances real-time data collection, accuracy, and processing capabilities within vehicles. The methodology involves the integration of various sensors, such as GPS, accelerometers, and temperature sensors, strategically placed within a vehicle to gather comprehensive data on vehicle performance, environmental conditions, and driver behaviour. The research encompasses the development of real-time data processing algorithms, the creation of software for data analysis, and extensive testing to evaluate system performance. Key findings indicate significant improvements in data accuracy and coverage compared to traditional centralized sensor systems. The distributed sensor network demonstrates enhanced reliability and robustness, making it suitable for various applications, including fleet management, autonomous driving, and vehicle maintenance. The implications of this study suggest that distributed sensor networks can revolutionize vehicle monitoring systems by providing better insights into vehicle conditions and driver behavior, ultimately contributing to improved transportation safety and efficiency. This research provides a foundational framework for future advancements in vehicle monitoring technologies.