Electric grids have evolved into Smart Grids (SGs), with the deployment of Advanced Metering Infrastructure (AMI) systems being a key component of this transformation. An AMI system comprises Smart Meters (SMs) that collect energy consumption data and transmit it to the utility through base stations known as Data Aggregation Points (DAPs). In this context, the advancement of the Internet of Things (IoT) paradigm makes the adoption of a communication infrastructure based on Long Range Wide-Area Network (LoRaWAN) advantageous. However, AMI data transmission over LoRaWAN requires careful planning, particularly concerning the placement and quantification of Gateways (GWs) operating as DAPs, as well as the development of transmission parameter allocation mechanisms capable of satisfying Quality of Service (QoS) requirements. To address these challenges, a set of solutions was developed and evaluated through simulations with up to 5,000 SMs. A computational heuristic combined with clustering techniques was employed to determine the x and y coordinates of the DAPs, with Fuzzy C-Means achieving up to a 37.04% reduction in the number of DAPs and collision rates below 5% in low-density scenarios. Furthermore, the proposed static allocation mechanisms, based on reception sensitivity and transmission success probability, further reduce the number of DAPs and achieve up to 532.95% higher energy efficiency compared to alternative solutions, while ensuring superior overall satisfaction of application requirements. Finally, future work includes applying metaheuristics for DAPs placement, developing dynamic allocation mechanisms, and testing the proposed solutions in real-world environments.