Joint Communication and Energy-Based Density Aware Smart Grid Node Resource Allocation in Heterogeneous Networks

Smart Grids (SG) are a novel paradigm introduced for optimizing the management of the power generation, transmission, distribution and consumption. A SG system can efficiently work only if all the components are connected through a communication network able to satisfy the SG applications requirements. Wireless communications are the most appropriate candidates for handling SG requirements due to their flexibility. By gaining from the presence of several Radio Access Technologies (RATs) and different SG applications, a Cost Function (CF) approach is here proposed based on both communication and energy consumption aspects for optimizing the SG nodes assignment to the different RATs. The proposed method allows to optimize the SG node allocation by exploiting the variable spatial densities of the nodes. The numerical results are achieved by using MATLAB simulations.