Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
An End-to-End Framework for Moving Objects in Smart Cities
Geolocation systems play a vital role in the implementation of smart cities, enabling various advanced applications and services. However, their intensive utilization presents challenges such as how to manage battery energy use in the case of mobile devices and problems to collect and manage many complex data models. This paper addresses these challenges by introducing a comprehensive framework that encompasses the entire geolocation data process. The GeoTrack offers the possibility to change the Android geolocation collection and sending parameters to optimize battery power when high location accuracy is unnecessary. It also provides a customizable data model to address interoperability challenges, a scalable architecture for handling heavy workloads, and a flexible visualization interface for efficient data analysis. By addressing these issues, the framework aims to enhance the effectiveness and efficiency of geolocation systems in smart cities, optimizing resource allocation, speeding up the development of smart city applications.
An End-to-End Framework for Moving Objects in Smart Cities
Geolocation systems play a vital role in the implementation of smart cities, enabling various advanced applications and services. However, their intensive utilization presents challenges such as how to manage battery energy use in the case of mobile devices and problems to collect and manage many complex data models. This paper addresses these challenges by introducing a comprehensive framework that encompasses the entire geolocation data process. The GeoTrack offers the possibility to change the Android geolocation collection and sending parameters to optimize battery power when high location accuracy is unnecessary. It also provides a customizable data model to address interoperability challenges, a scalable architecture for handling heavy workloads, and a flexible visualization interface for efficient data analysis. By addressing these issues, the framework aims to enhance the effectiveness and efficiency of geolocation systems in smart cities, optimizing resource allocation, speeding up the development of smart city applications.
An End-to-End Framework for Moving Objects in Smart Cities
Silva, Alison (Autor:in) / Dantas, Abraao (Autor:in) / Rocha, Rodrigo (Autor:in) / Lopes, Frederico (Autor:in) / Cacho, Nelio (Autor:in)
24.09.2023
395526 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Smart cities : framework and practice
| TIBKAT | 2020
Smart Cities Data: Framework, Applications, and Challenges
| Springer Verlag | 2021
Sustainable Cities: A KPI-Driven Sustainable Evaluation Framework for Smart Cities
| BASE | 2021
Urban Computing: The Technological Framework for Smart Cities
| Springer Verlag | 2021