Multi‐Generation Mixing–Based Network Coding for Reliable Data Dissemination in IoMT Environment

ABSTRACT Internet of Medical Things (IoMT) devices are gradually being incorporated into healthcare systems that requires the development of data dissemination frameworks that are both reliable and secure. A revolution in healthcare has been made possible by integrating IoMT and key emerging technologies such as fog computing, cloud computing, and network coding (NC). This paper proposed an extensive architecture for guaranteeing reliable data dissemination in the IoMT environment. Real‐time analytics and responses are made possible by the convergence of fog computing, cloud computing, and IoMT, which promises to improve processing capabilities at the network edge. The proposed architecture uses NC with multi‐generation mixing (MGM) to enhance the reliability of data dissemination. We developed an MGM‐based NC methodology for encoding and decoding data. We performed experiments in an IoMT environment to validate the effectiveness of the proposed architecture. The experimental results show substantial improvements in successful access ratio, average access latency, and reliability against the percentage of server failure. The success access ratio greater than 66% is attained for the generation size (GS) 4. The average access latency decreases as we increase the GS and mixing set size (MSS). The reliability of the proposed NC‐based approach is also improved by 15%–20% for different GS and MSS. The experimentation results highlight that the NC‐based approach outperforms traditional approaches.