Tuberculosis (TB) is an infectious bacteria based disease which spreads at a high rate with person to person interaction and can even lead to death. In this paper, we have proposed a health care system for prevention and control of spreading of tuberculosis with the help of radio frequency based Internet of thing (IOT) sensor devices, fog computing, mobile phones and cloud computing. In the initial stage the cloud is used to classify the user using the decision tree on the basis of their infection, and then the alerts and monitoring is done via the fog layer. The Radio frequency based sensors devices present for sensing the proximity interactions between the users, automatically providing alert to the user about the presence of any infected individual in their proximity and this proximity data is used for the creation of Temporal Network Graphs at a local level so that the spread can be controlled easily at the local level itself thus making it easy to figure the spread patterns and mass spreader. The analysis of different metric of temporal graphs are calculated and the real time based alert generation makes the healthcare system even better.

FOG healthcare, RFID sensors, proximity contacts, temporal network graphs, Tuberculosis.

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