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


Affiliations
1 Department of Computer Programming, Trakya University, Edirne, 22020, Turkey
2 Department of Software Engineering, Firat University, Elazig, 23119, 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, 09010, Turkey
 

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.

Keywords

Machine-to-Machine (M2M), Machine Learning, Data Mining, Big Data.
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  • Big Data Analysis for M2M Networks: Research Challenges and Open Research Issues

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Authors

Gurkan Tuna
Department of Computer Programming, Trakya University, Edirne, 22020, Turkey
Resul Das
Department of Software Engineering, Firat University, Elazig, 23119, Turkey
B. Ramakrishnan
Department of Computer Science and Research Centre, S.T. Hindu College, Nagercoil, Tamilnadu, India
Yilmaz Kilicaslan
Department of Computer Engineering, Adnan Menderes University, Aydin, 09010, Turkey

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.

Keywords


Machine-to-Machine (M2M), Machine Learning, Data Mining, Big Data.

References