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An architecture model for smart city using Cognitive Internet of Things(CIoT)

机译:使用认知物联网(CIoT)的智能城市架构模型

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In this paper, a distributed architecture for the implementation of smart city has been proposed to facilitate various smart features like solid waste management, efficient urban mobility and public transport, smart parking, robust IT connectivity, safety and security of citizens and a roadmap for achieving it. How massive volume of IoT data can be analyzed and a layered architecture of IoT is explained. Why data integration is important for analyzing and processing of data collected by the different smart devices like sensors, actuators and RFIDs is discussed. The wireless sensor network can be used to sense the data from various locations but there has to be more to it than stuffing sensors everywhere for everything. Why only the sensor is not sufficient for data collection and how human beings can be used to collect data is explained. There is some communication protocols between the volunteers engaged in collecting data to restrict the sharing of data and ensure that the target area is covered with minimum numbers of volunteers. Every volunteer should cover some predefined area to collect data. Then the proposed architecture model is having one central server to store all data in a centralized server. The data processing and the processing of query being made by the user is taking place in centralized server.
机译:在本文中,已提出了用于实施智能城市的分布式体系结构,以促进各种智能功能,如固体废物管理,有效的城市移动性和公共交通,智能停车,强大的IT连接性,公民的安全和保障以及实现目标它。如何分析大量的物联网数据以及如何解释物联网的分层体系结构。为什么数据集成对于分析和处理由不同的智能设备(例如传感器,执行器和RFID)收集的数据非常重要。无线传感器网络可用于感测来自各个位置的数据,但它所需要的内容不止是将传感器塞满任何地方的所有内容。解释了为什么仅传感器不足以进行数据收集,以及如何使用人类来收集数据。从事收集数据的志愿者之间存在一些通信协议,以限制数据共享并确保目标区域被最少数量的志愿者覆盖。每个志愿者都应覆盖一些预定义的区域以收集数据。然后,所提出的体系结构模型使一个中央服务器将所有数据存储在一个中央服务器中。用户进行的数据处理和查询处理是在集中式服务器中进行的。

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