Profit Maximization Scheme in IoT assisted mist Computing Healthcare Environment using M/G/c/N Queueing Model

Internet of Things (IoT) is looking ahead to a world in which any service can be connected through the use of adapted ICTs to contribute to technical transformation in a variety of fields, including health systems. In healthcare solutions, the use of the Internet of Things (IoT) tackles latency sensitivity concerns, inconsistent data load, diverse consumer preferences, and applications' heterogeneity. A present survey considers cloud computing as the base tone for creating IoT-Enable solution. This setting, however, has constraints on the distance from the data source for the multi-hop system. In order to overcome these drawbacks, a variety of solutions are extended as a means of bringing computational power closer to the data sources. As a result of the rising demand for mist computing, various vendors have arrived to provide the remedy for IoT health consumers. In this paper, we measured the estimated revenue from a mist service provider using the M/G/c/N queuing model with the average waiting time for a new service request and the probability of time delay.