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Research on the Internet of Things and the development of smart city industry based on big data

机译:基于大数据的事物互联网与智能城市产业发展的研究

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摘要

Development of smart city and smart industry is a major concern in today's world. By using the Internet of Things and big data analytics, can develop the smart city and smart industry. So a new approach called smart city industry based on big data (SCIB) is proposed. This helps to enhance the performance and to develop the smart city and smart industry even by using big data analytics. Here data are collected from the smart city and industrial appliances such as health care, education systems, congestion management and power grid. These data will be formed as a big data and that will be passed to data acquisition for digitalization. Further it will be stored with the help of cloud computing process. Now based on the application user's requirement data processing, decision making and data transfer process will be done. In simulation section, it analyzes the performance and calculates the parameters such as delay, lifetime, failure rate, congestion rate and throughput to know the performance of the proposed approach. The proposed SCIB approach will help to increase the throughput and lifetime at the same time it reduces the delay, failure rate and congestion rate.
机译:智能城市和智能行业的发展是当今世界的主要问题。通过使用物联网和大数据分析,可以开发智能城市和智能行业。因此,提出了一种基于大数据(SCIB)的智能城市行业的新方法。这有助于提高性能,甚至通过使用大数据分析甚至开发智能城市和智能行业。这里的数据来自智能城市和工业设备,如医疗保健,教育系统,拥塞管理和电网。这些数据将形成为大数据,并且将传递给数字化的数据采集。此外,它将在云计算过程的帮助下存储。现在基于应用程序用户的需求数据处理,将完成决策和数据传输过程。在仿真部分中,它分析了性能并计算了延迟,寿命,故障率,拥塞率和吞吐量等参数,以了解所提出的方法的性能。建议的SCIB方法将有助于增加吞吐量和寿命,同时它降低了延迟,失败率和拥堵率。

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