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Design of NarrowBand-IoT Oriented Wireless Sensor Network in Urban Smart Parking

机译:面向城市智能停车的窄带物联网无线传感器网络设计

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With the rapid growth of economy, the process of urbanization is picking up speed. The ensuing fast increase in the number of motor vehicles has aggravated the contradiction between the growing parking demand and the limited parking space in urban areas, which impedes the sustainable development of urban traffic. The traditional parking lot, featured by low efficiency and poor automation, fails to satisfy the soaring parking demand. To improve the traffic management across the city, it is necessary to develop an integrated management platform for urban parking lots. In view of the unique advantage of NarrowBand-Internet of Things (NB-IoT), this paper proposes an urban smart parking management platform based on the NB-IoT and wireless sensor network (WSN), aiming to unlock the full potential of urban parking resources. After briefly introducing the NB-IOT wireless communication and license plate recognition (LPR), the author explained the overall architecture and the image processing algorithm of the NB-IoT oriented urban smart parking plan. Then, the proposed plan was contrasted with traditional wireless communication technology. The results prove that the proposed plan outperformed its traditional counterpart. This research will give a great impetus to the development of the IoT although NB-IoT is still in its nascence
机译:随着经济的快速增长,城市化进程正在加快。随之而来的机动车数量的快速增长加剧了停车需求的增长与城市地区有限的停车位之间的矛盾,这阻碍了城市交通的可持续发展。传统的停车场效率低,自动化程度差,无法满足飞速增长的停车场需求。为了改善整个城市的交通管理,有必要为城市停车场开发一个集成的管理平台。鉴于窄带物联网(NB-IoT)的独特优势,本文提出了一种基于NB-IoT和无线传感器网络(WSN)的城市智能停车管理平台,旨在释放城市停车的全部潜力资源。在简要介绍了NB-IOT无线通信和车牌识别(LPR)之后,作者解释了面向NB-IoT的城市智能停车计划的总体架构和图像处理算法。然后,将该计划与传统的无线通信技术进行了对比。结果证明,拟议的计划优于传统计划。尽管NB-IoT仍处于萌芽状态,但这项研究将为IoT的发展提供强大动力。

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