Data fusion for data prediction : an IoT-based data prediction approach for smart cities
Joint Authors
Musa, Shirin M.
Badr, Najwa L.
Fawzi, Dina
Source
International Journal of Intelligent Computing and Information Sciences
Issue
Vol. 23, Issue 2 (30 Jun. 2023), pp.13-26, 14 p.
Publisher
Ain Shams University Faculty of Computer and Information Sciences
Publication Date
2023-06-30
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Recently with the high implementation of numerous internet of things (IoT) based systems, it becomes a crucial need to have an effective data prediction approach for IoT data analysis that copes with sustainable smart city services.
nevertheless, IoT data add many data perspectives to consider, which complicate the data prediction process.
this poses the urge for advanced data fusion methods that would preserve IoT data while ensuring data prediction accuracy, reliability, and robustness.
although different data prediction approaches have been presented for IoT applications, but maintaining IOT data characteristics is still a challenge.
this paper presents our proposed approach the domain-independent data fusion for data prediction (DFDP) that consists of : (1) data fusion, which maintains IoT data massive size, faults, spatiotemporality, and freshness by employing a data input-data output fusion approach, and (2) data prediction, which utilizes the k-nearest neighbor data prediction technique on the fused data.
DFDP is validated using IoT data from different smart cities datasets.
the experiments examine the effective performance of DFDP that reaches 91.8% accuracy level.
American Psychological Association (APA)
Fawzi, Dina& Musa, Shirin M.& Badr, Najwa L.. 2023. Data fusion for data prediction : an IoT-based data prediction approach for smart cities. International Journal of Intelligent Computing and Information Sciences،Vol. 23, no. 2, pp.13-26.
https://search.emarefa.net/detail/BIM-1486284
Modern Language Association (MLA)
Fawzi, Dina…[et al.]. Data fusion for data prediction : an IoT-based data prediction approach for smart cities. International Journal of Intelligent Computing and Information Sciences Vol. 23, no. 2 (Jun. 2023), pp.13-26.
https://search.emarefa.net/detail/BIM-1486284
American Medical Association (AMA)
Fawzi, Dina& Musa, Shirin M.& Badr, Najwa L.. Data fusion for data prediction : an IoT-based data prediction approach for smart cities. International Journal of Intelligent Computing and Information Sciences. 2023. Vol. 23, no. 2, pp.13-26.
https://search.emarefa.net/detail/BIM-1486284
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 23-26
Record ID
BIM-1486284