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Big data analytics for large-scale wireless networks: Challenges and opportunities
Authors
HN Dai
AV Vasilakos
+3 more
H Wang
RCW Wong
Z Zheng
Publication date
1 January 2019
Publisher
'Association for Computing Machinery (ACM)'
Doi
Cite
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on
arXiv
Abstract
© 2019 Association for Computing Machinery. The wide proliferation of various wireless communication systems and wireless devices has led to the arrival of big data era in large-scale wireless networks. Big data of large-scale wireless networks has the key features of wide variety, high volume, real-time velocity, and huge value leading to the unique research challenges that are different from existing computing systems. In this article, we present a survey of the state-of-art big data analytics (BDA) approaches for large-scale wireless networks. In particular, we categorize the life cycle of BDA into four consecutive stages: Data Acquisition, Data Preprocessing, Data Storage, and Data Analytics. We then present a detailed survey of the technical solutions to the challenges in BDA for large-scale wireless networks according to each stage in the life cycle of BDA. Moreover, we discuss the open research issues and outline the future directions in this promising area
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OPUS - University of Technology Sydney
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oai:opus.lib.uts.edu.au:10453/...
Last time updated on 20/04/2021
NORA - Norwegian Open Research Archives
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oai:ntnuopen.ntnu.no:11250/262...
Last time updated on 30/10/2019