Bi-level optimization of resource allocation and appliance scheduling in residential areas using a Fog of Things (FOT) framework.

Fog computing has become a state-of-art technology for cloud applications in collaboration with physical IOT devices on the edge of the network.We propose a Fog of Things (FOT) framework for optimized resource allocation to manage issues of over demanding and load balancing. The work discussed here is based on the residential demand side model for the areas that generate large number of requests per hour and resource allocation to these requests that require large amount of time and resources. In our FOT Framework, we have two main layers: fog layer and consumer layer. The fog layer performs the resource allocation in optimal time using Jaya optimization algorithm. The consumer layer makes decision for selection of particular appliances in residential buildings using a Multiple Knapsack algorithm. Both layers act as players following the extensive form of the game theory approach to share their moves to each other. [ABSTRACT FROM AUTHOR]