A survey on data analysis on large-Scale wireless networks: online stream processing, trends, and challenges

Autor: Dianne S. V. Medeiros, Helio N. Cunha Neto, Martin Andreoni Lopez, Luiz Claudio S. Magalhães, Natalia C. Fernandes, Alex B. Vieira, Edelberto F. Silva, Diogo M. F. Mattos
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Internet Services and Applications, Vol 11, Iss 1, Pp 1-48 (2020)
Druh dokumentu: article
ISSN: 1867-4828
1869-0238
DOI: 10.1186/s13174-020-00127-2
Popis: Abstract In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a machine learning problem on big data stream processing. We show the main trends in big data stream processing frameworks. Additionally, we explore the data preprocessing, feature engineering, and the machine learning algorithms applied to the scenario of wireless network analytics. We address challenges and present research projects in wireless network monitoring and stream processing. Finally, future perspectives, such as deep learning and reinforcement learning in stream processing, are anticipated.
Databáze: Directory of Open Access Journals
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