###### Abstract  
This work is focused on the performance analysis and optimal routing of wireless technology for intelligent energy metering, considering the inclusion of micro grids. For the study, a geo-referenced scenario has been taken into account, which will form the structure of a graph to be solved using heuristic-based algorithms. In the first instance, the candidate site of the world geography to perform the case study is established, followed by deploying infrastructure devices and determining variables and parameters. Then, the model configuration is programmed, taking into account that a set of nodes and vertices is established for proper routing, resulting in a preliminary wireless network topology. Finally, from a set of restrictions, a determination of users connected to the concentrator and optimal routing is performed. This procedure is treated as a coverage set problem. Consequently, to establish the network parameters, two restrictions are specifically considered, capacity and range; thus, can be determined the best technology to adapt to the location. Finally, a verification of the resulting network topologies and the performance of the infrastructure is done by simulating the wireless network. With the model created, scenarios are tested, and it is verified that the optimization model demonstrates its effectiveness.  
e 2021  
their dynamic behaviors within the grid; for this reason, proposals and innovations have been developed through techniques that seek to solve the difficulties of the electrical phenomenon [11]. However, other problems have to do with the treatment and management of the data obtained from the advanced communication system proper to the smart grid. Therefore, it is necessary to mention that, within the current dilemmas to be solved, an adequate deployment of the infrastructure supports bidirectional communication between the system's actors.  
In deploying a smart grid, the configuration of a micro grid (MG) becomes an indispensable consideration for the integration of distributed generation units; since its adequacy allows interaction with the conventional grid of the interconnected system. Advanced metering infrastructure (AMI) micro grids can improve electric service efficiency and contribute to moderate energy consumption [12; 13]. According to [PERSON] et al. in their 2017 paper [14; 15], for AMI to be considered an efficient and reliable component of the smart grid (SG), it is necessary to ensure two-way communication between the smart meter (SM) and the electric utility. According to [1; 2; 16], the key in SG is the integration of an adequate communication infrastructure that allows monitoring and gives way to effective control of the electric grid; in addition, it should be taken into account that the data obtained from AMI are necessary for power quality management, especially if we integrate electric micro grids [7; 8; 11]; additionally, advanced infrastructures allow metering data to be managed for MG operation, and load forecasting to the system [17; 18].  
The problem concerning communications utilizes optimization techniques; a more concise approach to the infrastructure deployment solution can be given, explicitly considering using wireless communication devices under different technologies and standards. In addition, it warns the need to test the performance of the wireless network in the processing of data coming from micro grids and conventional clients [7].  
This article is organized as follows. Section 2 describes related work. Section 3 describes the problem formulation. In Section 4, the analysis of simulation results is carried out. Finally, we conclude this paper in Section 5.