This article represents the computational model for spacial addresation of the sensors in the dynamically changing real-time internet of things system. The model bases on the Voronoi diagrams as a basic data structure. Problem - the correct data addresation without time delays in real-time processing and database indexation in distributed storages. Goal - to develop the real-time processing model of the object location identification in the Voronoi diagram data structure. Relevance - the research and development on the contemporary issues on the convergence (the N limit up to which the model presents the algorithm convergence), time-delay, correct indexation in the database transactions and adressation throughout wireless radio frequencies in the distribiuted sensor systems. Solution proposes the Voronoi diagram computational geometry data structure and the sweeping curve algorithm. Methods represents the following steps: simulation of the dynamically changing agent system using set of points that are based on a contemporary paths of the public transport routes, bykes, vehicles circulations; 3D map rendering on the SITG Canton of Geneva map; Voronoi diagrams calculation with the Fortune's algorithm.
翻译:文章代表了动态变化中实时物联网系统中传感器的平滑添加的计算模型。Voranoi图表的模型基础是基本的数据结构。问题 - 实时处理和分布式储存数据库指数化过程中没有延误的正确数据添加和数据库指数化。目标 - 开发Voronoi图表数据结构中物体位置识别的实时处理模型。相关性 - 当代问题(该模型显示算法趋同的N限制)的研究和发展,时间拖延,数据库交易中的正确索引化,以及拆除式传感器系统中无线无线电频率中无线无线电交易的压缩。 Somotion提议了Voronoi图表的计算数据结构和扫描曲线算法。方法代表了以下步骤:利用以现代公共交通路线为基础的一组点模拟动态变化代理系统,由车辆循环组成;在日内瓦SITG州地图上绘制的3D地图;用Fortune的算法计算沃罗诺伊图。