- Title
- Recent advances and challenges in mobile big data
- Creator
- Ahmed, Ejaz; Yaqoob, Ibrar; Hashem, Ibrahim; Shuja, Junaid; Imran, Muhammad
- Date
- 2018
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/181792
- Identifier
- vital:15995
- Identifier
-
https://doi.org/10.1109/MCOM.2018.1700294
- Identifier
- ISBN:0163-6804 (ISSN)
- Abstract
- The unabated flurry of research activities dedicated to gaining business insights from a flood of data generated by heterogeneous mobile sources, such as the Internet of Vehicles, sensors, and smartphones, has instigated a new research domain called MBD. At the core of this mobile environment, scalability, cost effectiveness, reliability, analytics, and security are important concerns. Coping with these issues in handling MBD requires understanding the challenges associated with it. Mobile computing and big data have been widely studied separately; however, very few studies have explored the convergence of these two domains. In this article, we critically review recent research efforts directed at MBD. We also classify the MBD by devising a thematic taxonomy that is based on source, analytics, applications, characteristics, security, and data type. Furthermore, we discuss the opportunities offered by MBD in terms of analytics. Some potential uses of MBD in healthcare, telecommunication, digital advertising, and transportation are also presented. Several open research challenges are discussed as future research directions. © 1979-2012 IEEE. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Imran” is provided in this record**
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- IEEE Communications Magazine Vol. 56, no. 2 (2018), p. 102-108
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 1979-2012 IEEE
- Subject
- 4006 Communications Engineering; 4606 Distributed Computing and Systems Software
- Reviewed
- Funder
- Imran’s work is supported by the Deanship of Scientific Research at King Saud University through Research Group No. RG # 1435-051.
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