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International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Big Data Analysis for M2M Networks: Research Challenges and Open Research Issues

Author NameAuthor Details

Gurkan Tuna, Resul Das, B. Ramakrishnan, Yilmaz Kilicaslan

Gurkan Tuna[1]

Resul Das[2]

B. Ramakrishnan[3]

Yilmaz Kilicaslan[4]

[1]Department of Computer Programming, Trakya University, Edirne, Turkey.

[2]Department of Software Engineering, Fırat University, Elazig, Turkey.

[3]Department of Computer Science and Research Centre, S.T. Hindu College, Nagercoil, Tamilnadu, India.

[4]Department of Computer Engineering, Adnan Menderes University, Aydin, Turkey.

Cite this Article

DOI: 10.22247/ijcna/2017/41308

Pages : 27 - 34

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Abstract

In recent years, solutions based on machine-to-machine (M2M) communications have started to support us in many areas of our life and work. However, the amount of data collected by M2M has increased tremendously and surpassed our expectations. This makes it necessary to investigate data mining methodologies and machine learning techniques in order to efficiently utilize large amounts of data gathered by M2M devices. In this paper, we first review existing data mining and machine-learning techniques specifically designed and proposed for M2M networks. Then, we discuss Big Data concept, investigate Big Data analysis techniques, and the importance of Big Data for M2M networks. Finally, we investigate research challenges and open research issues in M2M to provide an insight into future research opportunities.

Index Terms

Machine-to-Machine (M2M)

Machine Learning

Data Mining

Big Data

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