dc.contributor.author | Dai, Hong-Ning | |
dc.contributor.author | Wong, Raymond Chi-Wing | |
dc.contributor.author | Wang, Hao | |
dc.contributor.author | zheng, zibin | |
dc.contributor.author | Vasilakos, Athanasios | |
dc.date.accessioned | 2019-10-14T12:43:21Z | |
dc.date.available | 2019-10-14T12:43:21Z | |
dc.date.created | 2019-09-23T10:35:52Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | ACM Computing Surveys. 2019, 52 (5), . | nb_NO |
dc.identifier.issn | 0360-0300 | |
dc.identifier.uri | http://hdl.handle.net/11250/2622013 | |
dc.description.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. | nb_NO |
dc.language.iso | eng | nb_NO |
dc.publisher | Association for Computing Machinery (ACM) | nb_NO |
dc.title | Big Data Analytics for Large-Scale Wireless Networks: Challenges and Opportunities | nb_NO |
dc.type | Journal article | nb_NO |
dc.type | Peer reviewed | nb_NO |
dc.description.version | acceptedVersion | nb_NO |
dc.source.pagenumber | 36 | nb_NO |
dc.source.volume | 52 | nb_NO |
dc.source.journal | ACM Computing Surveys | nb_NO |
dc.source.issue | 5 | nb_NO |
dc.identifier.doi | 10.1145/3337065 | |
dc.identifier.cristin | 1727676 | |
dc.description.localcode | © 2019. This is the authors' accepted and refereed manuscript to the article. The final authenticated version is available online at: http://dx.doi.org/10.1145/3337065 | nb_NO |
cristin.unitcode | 194,63,10,0 | |
cristin.unitname | Institutt for datateknologi og informatikk | |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |