IoT Based Advanced Detection Monitoring for Indoor Localization System using WSN Technology

Abstract

This paper presents an IoT-based approach for advanced detection monitoring in indoor environments leveraging Wireless Sensor Network (WSN) technology. The proposed system utilizes a network of interconnected sensors strategically deployed within the indoor space to accurately localize objects or individuals. Through the integration of Internet of Things (IoT) principles, real-time data transmission and processing are facilitated, enabling efficient monitoring and tracking. The system employs advanced algorithms for data fusion and analysis to enhance localization accuracy and reliability. Additionally, it offers scalability and adaptability, making it suitable for various indoor applications such as asset tracking, security surveillance, and environmental monitoring. Experimental results demonstrate the effectiveness and robustness of the proposed IoT-based indoor localization system.