Intelligent System Architecture for Smart City and its Applications Based Edge Computing

There is no doubt that smart city applications dramatically increase and the need for smart cities in our modern life becomes a demand. Smart cities will enable various applications and introduce many market innovations. However, the dramatic increase in wireless devices and network traffic puts many constraints in designing such networks. To this end, we provide to develop a reliable smart city system that enables various heterogeneous applications and provides the communication infrastructure for the expected enormous number of wireless devices. The proposed system is scalable so that the increase in network traffic will be supported with no degradation in network performances. The system deploys edge computing servers and artificial intelligence. In this study, we simulated a model for the structure of a smart city based on heterogeneous edge computing and defined evaluation parameters. Finally, according to the analysis of the results will be developed a prototype for the practical implementation of the selected method using a specific example is based on a neural network algorithm to generate forecasts of Internet of Things traffic activity. © 2020 IEEE.

Авторы
Al-Gaashani M.1 , Ali Muthanna M.S. , Abdukodir K. 2 , Muthanna A. 3 , Kirichek R. 1
Сборник материалов конференции
Язык
Английский
Страницы
269-274
Статус
Опубликовано
Номер
9222460
Том
2020-October
Год
2020
Организации
  • 1 Chongqing University of Posts and Telecommunications, China
  • 2 Peoples' Friendship University of Russia Rudn University, Moscow, Russian Federation
  • 3 State University of Telecommunication, St-Petersburg, Russian Federation
Ключевые слова
AI; architecture; Edge computing; Smart city
Дата создания
20.04.2021
Дата изменения
20.04.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/71779/
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