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

• Autores: Meiling Ye, Abdallah Saleh Shatat
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 1287-1300
• Idioma: inglés
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• Resumen

  • With the rapid development of the Internet, GSM (Global System for Mobile Communications) is graduallydeveloping 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 citypublic information. It is urgent to realize the rational mining and analysis of information, and it is urgent toprovide practical solutions to solve the practical problems faced by smart cities. Smart city management andservices. This paper constructs a smart city public information mining system based on GSMwireless 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 anddistributed in close proximity. The deployment and development prospects are broad. A smart city videonetwork 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 tocalculate videos, stores and forwards them to the edge computer processing space, changing the mobile networkEconomic form. In addition to the task scheduling problem of the system environment in this paper, a distributedmulti-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 withadvanced information mining and analysis tools, has complete information management capabilities, andguarantees the service quality of the entire smart city public information platform. The urban public informationplatform provides non-communication applications with mobile network characteristics.