Machine Learning-based Congestion Control Routing Strategy for Healthcare IoT Enabled Wireless Sensor Networks

Healthcare Internet of Things (HIoT) are collection of heterogeneous collection of sensor-based computing devices used for healthcare monitoring applications. Many research works are being done to enhance the efficacy of healthcare sector with reduced cost. These devices are low power sensors with limited computing capabilities and energy. So, aim of this paper is to discuss and propose a congestion control routing protocol for HIoT as emergency packets are transmitted using IoT sensor nodes with high throughput and efficiency. The proposed algorithm is divided in two main steps, in first step packet forwarding window size is predicted using machine learning algorithm. In second step, data packets are categorized into prioritized and normal packets and forwarded in allotted window size. The theoretical comparison of the proposed congestion control routing protocol increases the efficiency of the system.