Master's Program in Electricity, Universidad Politécnica Salesiana, Quito EC170525, Ecuador.
Postgraduate Department, Smart Grid Research Group (GIREI), Universidad Politécnica Salesiana, Quito EC170525, Ecuador.
Sensors (Basel). 2021 Oct 29;21(21):7208. doi: 10.3390/s21217208.
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.
这项工作专注于无线技术在智能能源计量中的性能分析和优化路由，同时考虑微电网的纳入。在研究中，考虑了一个基于地理位置的场景，该场景将构成一个图的结构，使用基于启发式的算法来解决。首先，确定世界地理上的候选地点进行案例研究，然后部署基础设施设备并确定变量和参数。接下来，根据一组节点和顶点进行模型配置，以进行适当的路由，从而生成初步的无线网络拓扑结构。最后，从一组限制中，确定连接到集中器的用户和最佳路由。此过程被视为覆盖集问题。因此，为了建立网络参数，特别考虑了两个限制，容量和范围；从而可以确定最适合该位置的技术。最后，通过模拟无线网络对生成的网络拓扑结构和基础设施的性能进行验证。通过创建的模型，测试场景，并验证优化模型的有效性。
