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Home»Articles»Big Data Integration with IoT to Achieve the Challenges

Big Data Integration with IoT to Achieve the Challenges

Author : V. Bhagyasree, K. Rohitha, K. Kusuma and S. Kokila
Volume 8 No.3 Special Issue:June 2019 pp 45-49

Abstract

The Internet of Things anticipates the combination of physical gadgets to the Internet and their access to wireless sensor data which makes it useful to restrain the physical world. Big Data convergence has many aspects and new opportunities ahead of business ventures to get into a new market or enhance their operations in the current market. The existing techniques and technologies is probably safe to say that the best solution is to use big data tools to provide an analytical solution to the Internet of Things. Based on the current technology deployment and adoption trends, it is visioned that the Internet of Things is the technology of the future; while to-day’s real-world devices can provide best and valuable analytics, and people in the real world use many IOT devices. In spite of all the advertisements that companies offer in connection with the Internet of Things, you as a liable consumer, have the right to be suspicious about IoT advertisements. This paper focuses on the Internet of things concerning reality and what are the prospects for the future.

Keywords

Internet of Things, Big Data

Full Text:

References

[1] Guoru Ding, “Big Data Analytics in Future Internet of Things”, Research Gate, 2013.
[2] Sunghae Jun, “Technology Analysis for Internet of Things using Big Data Learning”, International Journal of Research in Engineering and Technology, Vol. 03, No. 12, 2014.
[3] Cyril Cecchinel, Matthieu Jimenez, S’ebastien Mosser, and Michel Riveill, “An Architecture to Support the Collection of Big Data in the Internet of Things”, IEEE, 2014.
[4] Mereena Thomas, “A Review paper on BIG Data”, International Research Journal of Engineering and Technology, Vol. 02, No. 09, 2015.
[5] D. P. Acharjya, “A Survey on Big Data Analytics: Challenges Open Research Issues and Tools”, International Journal of Advanced Computer Science and Applications, Vol. 7, No. 2, 2016.
[6] Vandana Sharma, and Ravi Tiwari, “A review paper on “IOT & It’s Smart Applications”, International Journal of Science Engineering and Technology Research (IJSETR), Vol. 5, No. 2, February 2016.
[7] Zeinab Kamal, Aldein Mohammeda, and Elmustafa Sayed Ali Ahmedb, “Internet of Things Applications Challenges and Related Future Technologies”, World Scientific News, Vol. 67, No. 2, pp. 126-148, 2017.
[8] Mohsen Marjani, Fariza Nasaruddin, and Abdullah Gani, “Big IoT Data Analytics: Architecture Opportunities and Open Research Challenges”, IEEE Access, March 2017.
[9] Amir Taherkordi, Frank Eliassen, and Geir Horn, “From loT Big Data to IoT Big Services”, IEEE, 2017.
[10] Anup S. Polgavande, “Internet of Things (IoT): A Literature Review”, International Journal of Research in Advent Tech, pp. 2321-9637, 2017.
[11] Mehdi Mohammadi, “Deep Learning for IoT Big Data and Streaming Analytics: A Survey”, IEEE Communications Surveys & Tutorials, 2018.
[12] Pradnya, A. Hukeri, and P. B. Ghewari, “Review paper on IoT Based Technology”, International Research Journal of Engineering and Technology, Vol. 04, No. 01, Jan 2017.
[13] Tanmaya Mahapatra, Ilias Gerostathopoulos, and Christian Prehofer, “Towards Integration of Big Data Analytics in Internet of Things Mashup Tools”, ACM, ISBN 978-1-4503-2138-9.
[14] L. Atzori, A. Iera, and G. Morabito, “The Internet of Things: A Survey”, Computer networks, Vol. 54, pp. 2787-2805, 2010.
[15] V.C. Patil, K.A. A1-Gaadi, D.P. Biradar, and M. Rangaswamy, “Internet Of Things (IoT) and Cloud Computing for Agriculture: An Overview”, Proceedings of Aipa 2012.
[16] A. Botta et al., “On the integration of cloud computing and internet of things”, IEEE International Conference of Future Internet of Things and Clouds, August 2014.
[17] “Big data: Preliminary report 2014”, ISO/IEC, 2015.
[18] The industrial internet of things volume g1: reference architecture, 2017.
[19] B. Leuckert et al., “IoT 2020: smart and secure IoT”, White Paper IEC, 2016, [online] Available: http:// www.iec.ch/whitepaper/pdf /iecWP-IoT2020-Lr.pdf.
[20] M. Chen, S. Mao, Y. Zhang, and V. C. M. Leung, “Big Data: Related Technologies Challenges and Future Prospects”, Springer, 2014.

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The Internet of Things anticipates the combination of physical gadgets to the Internet and their access to wireless sensor data which makes it useful to restrain the physical world. Big Data convergence has many aspects and new opportunities ahead of business ventures to get into a new market or enhance their operations in the current market. The existing techniques and technologies is probably safe to say that the best solution is to use big data tools to provide an analytical solution to the Internet of Things. Based on the current technology deployment and adoption trends, it is visioned that the Internet of Things is the technology of the future; while to-day’s real-world devices can provide best and valuable analytics, and people in the real world use many IOT devices. In spite of all the advertisements that companies offer in connection with the Internet of Things, you as a liable consumer, have the right to be suspicious about IoT advertisements. This paper focuses on the Internet of things concerning reality and what are the prospects for the future.

Editor-in-Chief
Dr. K. Ganesh
Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
Expert at McKinsey and Company, India
[email protected]
Editorial Advisory Board
Dr. Eng. Hamid Ali Abed AL-Asadi
Department of Computer Science, Basra University, Iraq
[email protected]
Dr. Norjihan Binti Abdul Ghani
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Christos Bouras
Department of Computer Engineering & Informatics, University of Patras, Greece
[email protected]
Dr. Maizatul Akmar Binti Ismail
Department of Information System, University of Malaya, Malaysia
[email protected]
Dr. Harold Castro
Department of Systems Engineering and Computing, University of the Andes, Colombia
[email protected]
Dr. Busyairah Binti Syd Ali
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. Sri Devi Ravana
Department of Information system, University of Malaya, Malaysia
[email protected]
Dr. Karpaga Selvi Subramanian
Department of Computer Engineering, Mekelle University, Ethiopia
[email protected]
Dr. Mazliza Binti Othman
Department of Computer System & Technology, University of Malaya, Malaysia
[email protected]
Dr. Chiam Yin Kia
Department of Software Engineering, University of Malaya, Malaysia
[email protected]
Dr. OUH Eng Lieh
Department of Information Systems, Singapore Management University, Singapore
[email protected]

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    Table of Contents

    Editorial Note

    Editorial Dr. K. Ganesh

    Editor-in-Chief
    Dr. K. Ganesh
    Global Lead, Supply Chain Management, Center of Competence and Senior Knowledge
    Expert at McKinsey and Company, India
    [email protected]
    Editorial Advisory Board
    Dr. Eng. Hamid Ali Abed AL-Asadi
    Department of Computer Science, Basra University, Iraq
    [email protected]
    Dr. Norjihan Binti Abdul Ghani
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Christos Bouras
    Department of Computer Engineering & Informatics, University of Patras, Greece
    [email protected]
    Dr. Maizatul Akmar Binti Ismail
    Department of Information System, University of Malaya, Malaysia
    [email protected]
    Dr. Harold Castro
    Department of Systems Engineering and Computing, University of the Andes, Colombia
    [email protected]
    Dr. Busyairah Binti Syd Ali
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. Sri Devi Ravana
    Department of Information system, University of Malaya, Malaysia
    [email protected]
    Dr. Karpaga Selvi Subramanian
    Department of Computer Engineering, Mekelle University, Ethiopia
    [email protected]
    Dr. Mazliza Binti Othman
    Department of Computer System & Technology, University of Malaya, Malaysia
    [email protected]
    Dr. Chiam Yin Kia
    Department of Software Engineering, University of Malaya, Malaysia
    [email protected]
    Dr. OUH Eng Lieh
    Department of Information Systems, Singapore Management University, Singapore
    [email protected]

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