survey

Big Data Analytics for Large-scale Wireless Networks: Challenges and Opportunities

Authors:

Raymond Chi-Wing Wong,

Athanasios V. VasilakosAuthors Info & Claims

ACM Computing Surveys (CSUR), Volume 52, Issue 5

Article No.: 99, Pages 1 - 36

https://doi.org/10.1145/3337065

Published: 13 September 2019 Publication History

Abstract

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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cover image ACM Computing Surveys

ACM Computing Surveys Volume 52, Issue 5

September 2020

791 pages

ISSN:0360-0300

EISSN:1557-7341

DOI:10.1145/3362097

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Published in CSUR Volume 52, Issue 5

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