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

Journal of Internet Services and Applications

Martin Andreoni Lopez¹  Luiz Claudio S. Magalhães²  Natalia C. Fernandes²  Dianne S. V. Medeiros²  Diogo M. F. Mattos²  Helio N. Cunha Neto²  Edelberto F. Silva³  Alex B. Vieira³ 

[1] Samsung R&D Institute Brazil - SRBR, Campinas, São Paulo, Brazil;Universidade Federal Fluminense - UFF, Niterói, Rio de Janeiro, Brazil;Universidade Federal de Juiz de Fora - UFJF, Juiz de Fora, Minas Gerais, Brazil;

关键词: Stream processing;    Big data;    Wireless;    Data mining;   

DOI  :  10.1186/s13174-020-00127-2

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY