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Smart city article details
| Title | An End-To-End Framework For Moving Objects In Smart Cities |
|---|---|
| ID_Doc | 7974 |
| Authors | Silva A.; Dantas A.; Rocha R.; Lopes F.; Cacho N. |
| Year | 2023 |
| Published | Proceedings of 2023 IEEE International Smart Cities Conference, ISC2 2023 |
| DOI | http://dx.doi.org/10.1109/ISC257844.2023.10293425 |
| Abstract | 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. © 2023 IEEE. |
| Author Keywords | Data Move Object; Framework; Geolocation |
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