Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/3442 2019 2019 Assistant Professor, Department of Computer Science and Engineering, AVN Institute of Engineering and Technology, Hyderabad, Telangana, 501510, India Ponugoti Ponugoti Associate Professor, Department of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, 500001, India Potu Narayana Assistant Professor, Department of Information Technology, G Narayanamma Institute of Technology and Science, Hyderabad, Telangana, India Smitha,. L. Associate Professor, Department of Computer Science and Engineering (AIML), Sridevi Women's Engineering College, Hyderabad, Telangana, India Dasari Madhavi Assistant Professor, Department of Computer Science and Engineering, Methodist College of Engineering and Technology, Hyderabad, 500001, India K. Keerthi Centre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, India Aseel Smerat Faculty of Economics and Administrative Sciences, Al Albayt University, Mafraq, Jordan Muhannad Akram Nazzal Internet of Things (IoT) integrated with the disruptive technologies are becoming increasingly popular and they have extended their capabilities in all domains such as automotive, health care and automation. IoT is connecting the billions of devices and humans to bring the fruitful advantages to society. Since IoT devices are operated with the centralized cloud environment, pervasive and continuous monitoring of the user information can be facilitated. However, owing to the inherent characteristics of cloud, such as large end-to-end latency, larger bandwidth consumption, handling the larger volume of data from the IoT devices would be bottleneck for implementing the IoT for the smart health care system that aids for the treatment and diagnosis process. To address these issues, this research article proposes powerful paradigm, Heath-FoTs (Fog of things) which incorporates the fog devices where the data are processed and filtered near the IoT nodes which is useful for improving the quality of services. To further improve the speed of communication, distributed fogs are introduced between the IoT devices and Cloud to process the health care data and provides the optimal solution to tackle the latencies problems and bandwidth requirements. The complete experimentation is carried out using the NodeMCU and Raspberry Pi 3 Model in which the MQTT (Message Queuing Telemetry Transportation) protocol is used as the major communication protocol between the IoT and Fog Nodes. To evaluate the proposed model, performance metrics such as latency, throughput, and communication cost is measured and compared with the traditional environments. Results demonstrate the Health-FoTs environment has shown the promising performance with the 23% lesser latency, 32% higher throughputs and 25% less communication overhead than the traditional IoT infrastructure and proves its strong place for the high speed health care environment. 2025 2025 144 156 10.54216/JISIoT.150112 https://www.americaspg.com/articleinfo/18/show/3442