FogCom:SDN-enabled fog node selection for early detection of communicable diseases

Abstract

A communicable illness is one that spreads from person to person by a number of means, including contact with blood and body fluids, inhaling an airborne virus, or being bitten by an insect. Internet of Things (IoT)-oriented medical technologies have proliferated in prior decades, and many more applications depend on wearable sensors for versatility. Modern research has examined the use of software-defined networking (SDN)-oriented fog framework to create intelligent health care services. To choose the best fog nodes within the fog layers, however, to anticipate communicable disease detection.To solve this issue, the SDN-enabled Fog Node Selection for Early Detection of Communicable Diseases (FogCom) is created in this study. The FogCom picks the optimal fog nodes using game theory’s Subgame Perfect Nash Equilibrium (SPNE) method. The suggested method also takes into account the three-layered CNN methodology for detecting communicable illnesses. Efficiency analysis shows that the suggested FogCom outperforms earlier baseline techniques.

Keywords

• SDN
• Fog node
• WBAN
• CNN
• Communicable diseases