移动物体上地理传感器的时空数据流仿真

A. Materukhin, O. Gvozdev, A. A. Maiorov, O. Sokolova
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引用次数: 2

摘要

在使用智能传感器设计监控网络的过程中,开发人员需要解决各种优化问题,无论是在数据采集层面还是在数据处理和分析层面。研究无线传感器网络内外数据流的主要问题是,无线传感器网络中数据流的特征高度依赖于数据采集过程的结构。如果不指定数据收集模型,几乎不可能确定传出数据流的强度。莫斯科国立大地测量和制图大学数据采集系统系开发了用于模拟公共交通上的地理传感器的时空数据流的系统。该系统可以改变数据采集网络和处理系统的配置,并检查各种理论解决方案,以优化监测网络的结构。这种结构优化的结果应该是确定监测网络的结构,根据各种最优准则,该网络将是最优的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulation of Spatio-Temporal Data Streams from Geosensors Located on Mobile Objects
In the process of designing a monitoring network using smart sensors, developers need to solve various optimization problems, both at the data collection level and at the data processing and analysis level. The main problem in studying data streams, both inside and outside the wireless sensor network, is that the characteristics of data streams in such networks are highly dependent on the data collection processes structure. It is almost impossible to determine the intensity of the outgoing data streams without specifying the data collection model. The system for simulation of spatiotemporal data streams from geosensors placed on public transport was developed at the Department of Data Acquisition Systems of Moscow State University of Geodesy and Cartography. This system allows to change configuration of the data collection network as well as the processing system and check various theoretical solutions for structural optimization of the monitoring network. The result of this structural optimization should be to determine the structure of the monitoring network, which will be optimal in terms of various optimality criteria.
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