DECIGUARD: A Smart Dual-Node IoT System for Real-Time Noise Surveillance

Urban noise pollution has become an important environmental issue that has impacted people and their life health and productivity. The conventional noise reduction tools are based on stagnant monitoring systems or human observations that could not be scaled, provided a spatial resolution or be responsive in real-time. The current paper introduces a smart dual-node Internet of Things (IoT) noise monitoring system that can monitor and detect patterns of environmental sound in both events of static and dynamic conditions [1],[2].. The proposed system will combine the stationary sensing node installed in the noise sensitive indoor settings and a mobile sensing node installed on moving cars to allow the entire spatial temporal noise evaluation. The fixed station constantly monitors the state of ambient sound and sends data to a cloud hosting and undergoes a long-term analysis of the indicators as well as shows them in real time on a screen [3]. The mobile node is an acoustic device that uses geolocation (granting GPS positioning) to map the noise hot spots of areas in cities dynamically. Real-time monitoring and trend analysis are involved with help of cloud-based visualization and data logging. The practical implementation proves the possibility of the system to detect areas with high noise and the time changes. The suggested scalable and modular architecture provides the inexpensive solution to the smart city sound management, planning urban, and environmental awareness programs.