A Pervasive IoT-Cloud Architecture for Real-Time Temperature and Humidity Monitoring

In the evolving landscape of computer science, the convergence of Internet of Things (IoT), Cloud Computing, and Pervasive Computing is revolutionizing the development of intelligent, real-time systems. While these technologies are often interrelated, this study provides a focused analysis of their individual contributions, integration mechanisms, and areas of application, particularly in indoor environmental safety.As a proof of concept, we present the design and implementation of a real-time environmental monitoring system. This system uses WiFi-enabled IoT devices—including temperature and humidity sensors connected to microcontrollers—to collect environmental data and transmit it to a cloud server for storage, processing, and visualization. Upon detecting values that exceed user-defined thresholds, the system automatically issues alerts through mobile application notifications and SMS messages, enabling prompt intervention such as activating ventilation or dehumidification systems. Alerts persist until the environment returns to safe conditions, thus preventing hazards like overheating, fire, or damage to sensitive materials.Compared to traditional monitoring solutions, the proposed system demonstrates improved responsiveness, scalability, and automation, showcasing the practical benefits and scientific relevance of loT-cloud integration in risk prevention and environmental control.