IoV-Health: an intelligent integrated emergency health monitoring and alert generation system

Internet of Things (IoT), the decade’s most significant technological advancement, has effectively continued to take over our daily lives. The use of IoT in the healthcare sector has made it feasible to continuously monitor patients with chronic conditions, extending their lives and reducing the risk of unexpected deaths. Also, the use of IoT in Vehicular Adhoc Networks (VANETS) is a developing field that needs a lot of attention. To enhance road safety, an emerging requirement for Intelligent Transportation Systems (ITS) is the integration of IoT and IoV principles in healthcare. This study proposes an IoV-Health system that is specifically created for drivers exploiting the concepts of IoV in healthcare. Based on the driver’s health, different emergency phases are detected by this system. Furthermore, in order to offer the driver immediate emergency services, emergency messages are generated and sent to surrounding vehicles, ambulances, and hospitals dependent on the severity levels of their health. Simulations on MATLAB and NetSim are performed for result validations. In terms of classification accuracy, precision, sensitivity, score, energy consumption, throughput, and end-to-end delay, the results show that our proposed healthcare system IoV-Health outperforms the existing healthcare systems.