A novel energy-efficient adaptive superframe structure for OWC-based real-time bio-sensor networks

Biosensors are becoming more common in the healthcare industry, but battery life is a significant barrier to broader adoption. Another concern is that these sensors heavily rely on radio frequency technology, which is dangerous to the human body and the environment. This research presents an optical wireless communication (OWC) based battery-efficient adaptive superframe for real-time biosensors. To begin, OWC uses visible light for downlink and infrared for uplink, making it human-safe. Second, our retrofit technique makes sensor transmission delays and energy usage more efficient. Third, as we look into wearable sensors, we see that the one-of-a-kind continuous superframe structure saves energy and allows for emergency data handling via the deployment of an emergency beacon. Fourthly, we compare the simulation results to the IEEE 802.15.7 standard superframe timeline to evaluate the practicality of our suggested technique. Analytical expressions are formulated to predict and analyze endto-end delays, average energy consumption, and savings. The results show a significant improvement in energy savings and delays without incurring any additional overheads.