CARE: Criticality-aware data transmission in CPS-Based Healthcare Systems

© 2018 IEEE. In this paper, we propose a scheme, criticality-aware data transmission (CARE) in CPS-based healthcare systems, for increasing the processing rate of the sensed physiological parameters' value of any patient. The criticality of a patient may vary at any instant of time, and thus, continuous monitoring and quick processing of the physiological parameter value of a patient is essential. Therefore, in order to reduce the latency of data processing of a critical patient, we consider fog computing in our architecture. Based on the criticality value of physiological parameters, a Local Processing Unit (LPU) transmits the sensor data either to the fog aggregation node or cloud. We use a cooperative game theory-based Nash bargaining approach, where the LPUs bargain among themselves to decide whether the sensor data need to be transmitted to cloud or fog aggregation node. Based on the criticality index and the weight factor assigned to the LPU participating in the bargaining process, the utility of each LPU is computed. Analytical results show that the utility increases with the increase in the criticality index of any patient. Considering the total number of WBANs 5, 10, and 15, the average utility varies 75%-80%. Moreover, the data dissemination delay and power consumption are reduced by 23.39% and 31.089% respectively in the presence of fog node.