An IoT-Based Fog Computing Model

An IoT-Based Fog Computing Model

Blog Article

The internet of things (IoT) and cloud computing are two technologies which have recently changed both the academia hp pavilion 15-eg1053cl and industry and impacted our daily lives in different ways.However, despite their impact, both technologies have their shortcomings.Though being cheap and convenient, cloud services consume a huge amount of network bandwidth.

Furthermore, the physical distance between data source(s) and the data centre makes delays a frequent problem in cloud computing infrastructures.Fog computing has been proposed as a distributed service computing model that provides a solution to these limitations.It is based on a para-virtualized architecture that fully utilizes the computing functions of terminal devices and the advantages of local proximity processing.

This paper proposes a multi-layer IoT-based fog computing model called IoT-FCM, which uses a genetic algorithm for resource allocation between the terminal layer and fog layer and a multi-sink version of the least interference beaconing protocol (LIBP) called least interference multi-sink protocol (LIMP) to enhance the fault-tolerance/robustness and reduce energy consumption of a terminal layer.Simulation results show that compared to the popular max−min and fog-oriented max−min, IoT-FCM performs guerlain ideal cologne better by reducing the distance between terminals and fog nodes by at least 38% and reducing energy consumed by an average of 150 KWh while being at par with the other algorithms in terms of delay for high number of tasks.