Sustainable Internet of Things (IoT) for Restricted Items Using a Dynamic Sleeping Wake-Up Approach

Managing energy usage has become more important for ensuring the dependability of the Internet of Things (IoT). Considering that IoT devices frequently function with constrained computation, memory, and battery capacity, the main problem in IoT architecture revolves around the need to reduce energy usage. The study looks further into the use of battery-powered devices that are environmentally benign. The proposed technique is based on the Energy Efficient Cluster Head Based Sleep Scheduling method (ECHSSM), which is intended to improve the monitoring of the Sleep and Wake-up stages by dynamically modifying time lengths. The project also involves creating an architectural prototype with a real-world application scenario involving temperature and humidity monitoring as its main focus. The Cooja simulator was used by the researchers to mimic the IoT network environment and evaluate the suggested approach. The effectiveness of the projected technique is assessed in relation to a number of important variables, such as energy consumption, network lifetime, battery level, and delay characteristics and packet delivery ratio. Especially, the outcomes show that the suggested strategy performs better than existing methods like LEACH, EEHC and cloud-IoT integrated models. It specifically improves network longevity by 7.59%, 11.95%, and 3.83%, which is a significant improvement.