<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>With the rapid development of the Internet, GSM (Global System for Mobile Communications) is gradually developing towards “centralization, standardization, informationization, and refinement”. Since 2011, China has carried out smart city construction projects and awarded nearly 200 cities as pilot cities for smart cities. Smart cities gradually begin to expand and build, and with it comes the generation of a large amount of smart city public information. It is urgent to realize the rational mining and analysis of information, and it is urgent to provide practical solutions to solve the practical problems faced by smart cities. Smart city management and services. This paper constructs a smart city public information mining system based on GSM wireless network. The system is independent of the mobile network. By migrating computing and storage capabilities and business service capabilities to the edge of the network, applications, services, and content can be localized and distributed in close proximity. The deployment and development prospects are broad. A smart city video network service platform based on mobile edge computing, relying on edge computing technology, introduces GSM offload gateways in the deployment, reconstructs mobile networks, uses 5G edge computing capabilities to calculate videos, stores and forwards them to the edge computer processing space, changing the mobile network Economic form. In addition to the task scheduling problem of the system environment in this paper, a distributed multi-user computing task scheduling algorithm with the goal of achieving Nash equilibrium is proposed. Game theory and mathematical derivation are used to prove that the system overhead has an upper limit of convergence and to quantify several efficiency factors for centralized optimization performance. The system makes full use of part of the existing mobile network resources, combines traditional network optimization technology with advanced information mining and analysis tools, has complete information management capabilities, and guarantees the service quality of the entire smart city public information platform. The urban public information platform provides non-communication applications with mobile network characteristics.</p>
</abstract>

With the rapid development of the Internet, GSM (Global System for Mobile Communications) is gradually developing towards “centralization, standardization, informationization, and refinement”. Since 2011, China has carried out smart city construction projects and awarded nearly 200 cities as pilot cities for smart cities. Smart cities gradually begin to expand and build, and with it comes the generation of a large amount of smart city public information. It is urgent to realize the rational mining and analysis of information, and it is urgent to provide practical solutions to solve the practical problems faced by smart cities. Smart city management and services. This paper constructs a smart city public information mining system based on GSM wireless network. The system is independent of the mobile network. By migrating computing and storage capabilities and business service capabilities to the edge of the network, applications, services, and content can be localized and distributed in close proximity. The deployment and development prospects are broad. A smart city video network service platform based on mobile edge computing, relying on edge computing technology, introduces GSM offload gateways in the deployment, reconstructs mobile networks, uses 5G edge computing capabilities to calculate videos, stores and forwards them to the edge computer processing space, changing the mobile network Economic form. In addition to the task scheduling problem of the system environment in this paper, a distributed multi-user computing task scheduling algorithm with the goal of achieving Nash equilibrium is proposed. Game theory and mathematical derivation are used to prove that the system overhead has an upper limit of convergence and to quantify several efficiency factors for centralized optimization performance. The system makes full use of part of the existing mobile network resources, combines traditional network optimization technology with advanced information mining and analysis tools, has complete information management capabilities, and guarantees the service quality of the entire smart city public information platform. The urban public information platform provides non-communication applications with mobile network characteristics.

Research and implementation of smart city public information mining analysis system based on mobile edge model of game theory

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

With the rapid development of the Internet, GSM (Global System for Mobile Communications) is gradually developing towards “centralization, standardization,...

Research and implementation of smart city public information mining analysis system based on mobile edge model of game theory

Pubblicato online: 15 lug 2022

Pagine: 1287 - 1300

Ricevuto: 21 feb 2022

Accettato: 29 apr 2022

DOI: https://doi.org/10.2478/amns.2022.2.0116

Parole chiave
Mobile edge model of game theory, Smart city, Public information, Mobile services, Edge computing

© 2023 Peiling Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research and implementation of smart city public information mining analysis system based on mobile edge model of game theory

Pubblicato online: 15 lug 2022

Pagine: 1287 - 1300

Ricevuto: 21 feb 2022

Accettato: 29 apr 2022

DOI: https://doi.org/10.2478/amns.2022.2.0116

Parole chiaveMobile edge model of game theory, Smart city, Public information, Mobile services, Edge computing

© 2023 Peiling Yu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
Mobile edge model of game theory, Smart city, Public information, Mobile services, Edge computing