TY - GEN

T1 - Intelligent System Architecture for Smart City and its Applications Based Edge Computing

AU - Al-Gaashani, Mehdhar

AU - Ali Muthanna, Mohammed Saleh

AU - Abdukodir, Khakimov

AU - Muthanna, Ammar

AU - Kirichek, Ruslan

N1 - Publisher Copyright: © 2020 IEEE.

PY - 2020/10

Y1 - 2020/10

N2 - 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.

AB - 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.

KW - AI

KW - architecture

KW - Edge computing

KW - Smart city

UR - http://www.scopus.com/inward/record.url?scp=85094885071&partnerID=8YFLogxK

U2 - 10.1109/ICUMT51630.2020.9222460

DO - 10.1109/ICUMT51630.2020.9222460

M3 - Conference contribution

AN - SCOPUS:85094885071

T3 - International Congress on Ultra Modern Telecommunications and Control Systems and Workshops

SP - 269

EP - 274

BT - 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2020

Y2 - 5 October 2020 through 7 October 2020

ER -