Integration of A* and k-means clustering for star network design in environments considering obstacles

Ivan Aldaya, Lucas Cardinal, Juliana Menzinger, Rafael Abrantes Penchel, Melissa Oliveira Santos, Marcelo Abbade, Jose Augusto de Oliveira, Mirian Santos, Grethell Georgina Pérez Sánchez

DOI: 10.14209/sbrt.2022.1570823824

Evento: XL Simpósio Brasileiro de Telecomunicações e Processamento de Sinais (SBrT2022)

Keywords: Multi-level star Network topology optimization k-means A*

Abstract

Multi-level is a widely adopted topology in many telecommunication systems, including both wireless and wired networks. The optimization of multi-level star networks, however, is not trivial, especially in the presence of obstacles. In this paper, we employ the well-known k-means clustering method but, instead of using a distance metric that neglects obstacles, we use the A* algorithm to find trajectories that allow circumventing obstacles. In order to assess the feasibility of the proposed approach, we apply it to 25 users arbitrarily located in a 20x20 uniform grid. This example indicates that by adopting A* to find obstacle-aware trajectories, the mean distance between the users and their associated centroids is sensibly reduced.

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