利用地理空间数据模拟智慧城市应用节点部署的新方法

I. Senturk, Gaoussou Youssouf Kebe
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引用次数: 4

摘要

迅速的城市化加上世界总人口的持续增长,需要在城市中有效地提供服务和基础设施。这种逐渐转变的一些挑战可以通过智能城市的全球现象来解决。尽管有各种各样的定义,但这个概念指的是数据驱动的解决方案,以更有效地运营城市。由于基础设施需要不断收集数据,传感器和各种无线通信技术是智慧城市的基石。在本文中,我们考虑了一个智能城市应用来监控通过一个志愿地理信息(VGI)系统获得的道路网络。为了分析所采用的无线通信技术对网络连接的影响,我们根据获得的地理空间数据在基础设施中部署了传感器,并改变了传感器的传输范围。结果表明,当传输范围增加时,发生的分区数量和确保网络范围连接性所需的最小中继节点数量显著下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Approach to Simulating Node Deployment for Smart City Applications Using Geospatial Data
The rapid urbanization combined with the continuing growth of the world's overall population entails efficient provisioning of services and infrastructure in the cities. Some of the challenges of this gradual shift can be addressed by the global phenomenon of smart cities. Despite various definitions, the concept refers to data-driven solutions to operate cities more efficiently. As the infrastructure requires constant data collection, sensors and various wireless communication technologies are the building blocks of smart cities. In this paper, we consider a smart city application to monitor the road network obtained through one of the volunteered geographic information (VGI) systems. To analyze the impact of the employed wireless communication technology on the network connectivity, we have deployed sensors to the infrastructure according to the obtained geospatial data and varied the transmission range of the sensors. The results show considerable decline in the number of occurred partitions and the minimum number of relay nodes required to ensure network-wide connectivity when the transmission range is increased.
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