Optimizing Synthesized Comfort Index through Occupancy Driven in IoT based Smart Buildings

Smart buildings are evolving rapidly with the integration of advanced technologies to enhance occupant comfort and sustainability. A central challenge in this domain is the optimization of comfort, dynamically aligned with occupancy detection. This research introduces a distinctive approach by leveraging Internet of Things (IoT) technologies, a key enabler for smart buildings, to facilitate real-time occupancy detection and environmental control. Utilizing a C4.5 decision tree, precise occupancy detection was achieved with metrics such as precision 97.87%, recall 98.93% and an F1 score 98.83%. The integration of an enhanced whale optimization algorithm with a synthesized comfort index, resulting in a value of 0.9960, demonstrates superior performance over conventional algorithms. By connecting IoT-enabled occupancy detection with comfort index optimization, this work pioneers a new paradigm in occupant comfort within smart buildings, with far-reaching implications for smart and sustainable building management.