IoT with Big Data Framework using Machine Learning Approach

Authors

  • Jyotir Moy Chatterjee GD RCET,Bhilai

Keywords:

Internet of Things (IoT), Big Data (BD), Computational Intelligence, Sensor Technology, Machine Learning (ML)

Abstract

In future IoT (Internet of Things), big-data administration & machine learning disclosure for expansive scale modern robotization application, the significance of mechanical internet is expanding step by step. The interconnection by means of the Internet of computing gadgets installed in ordinary items, empowering them to send and get information. BD is informational collections that are so voluminous and complex that customary information preparing application programming are insufficient to manage them. ML is a subset of artificial intelligence that regularly utilizes measurable procedures to enable PCs to "learn" with information, without being expressly modified. A few differentiated advancements, for example, IoT, computational intelligence, machine type communication, BD, & sensor technology can be fused together to enhance the data administration & information revelation effectiveness of expansive scale robotization applications. An expanding measure of significant data sources, propels in IoT & Big Data (BD) advances & also the accessibility of an extensive variety of machine learning (ML) calculations offers new potential to convey logical administrations to nationals & urban chiefs. In any case, there is as yet a hole in joining the present best in class in an incorporated system that would help lessening improvement costs & empower new sort of administrations. Voluminous measures of data have been created, since the previous decade as the scaling down of IoT gadgets increments. Be that as it may, such data are not valuable without scientific power. Various BD, IoT, & investigation arrangements have empowered individuals to acquire profitable knowledge into extensive information created by IoT gadgets. However, these arrangements are still in their earliest stages, & the domain does not have a thorough review on this. Here we endeavored to give a reasonable more profound understanding about the IoT in BD structure alongside its different issues & challenges & concentrated on giving conceivable arrangement by ML strategy.

References

Sowe, S. K., Kimata, T., Dong, M., & Zettsu, K. (2014, July). Managing heterogeneous sensor data on a big data platform: IoT services for data-intensive science. In Computer Software and Applications Conference Workshops (COMPSACW), 2014 IEEE 38th International (pp. 295-300). IEEE.https://doi.org/10.1109/COMPSACW.2014.52

Sivaraman, V., Gharakheili, H. H., Vishwanath, A., Boreli, R., & Mehani, O. (2015, October). Network-level security and privacy control for smart-home IoT devices. In Wireless and Mobile Computing, Networking and Communications (WiMob), 2015 IEEE 11th International Conference on (pp. 163-167). IEEE.https://doi.org/10.1109/WiMOB.2015.7347956

Kaul, L., & Goudar, R. H. (2016, November). Internet of things and Big Data-challenges. In Green Engineering and Technologies (IC-GET), 2016 Online International Conference on (pp. 1-5). IEEE.https://doi.org/10.1109/GET.2016.7916854

Perera, C., Ranjan, R., Wang, L., Khan, S. U., & Zomaya, A. Y. (2015). Big data privacy in the internet of things era. IT Professional, 17(3), 32-39.https://doi.org/10.1109/MITP.2015.34

Kumar, J. S., & Patel, D. R. (2014). A survey on internet of things: Security and privacy issues. International Journal of Computer Applications, 90(11).

Gudivada, V. N., Baeza-Yates, R. A., & Raghavan, V. V. (2015). Big Data: Promises and Problems. IEEE Computer, 48(3), 20-23.

Hwang, Y. H. (2015, April). Iot security & privacy: threats and challenges. In Proceedings of the 1st ACM Workshop on IoT Privacy, Trust, and Security (pp. 1-1). ACM.https://doi.org/10.1145/2732209.2732216

Cook, D. J., Thompson, J. E., Prinsen, S. K., Dearani, J. A., & Deschamps, C. (2013). Functional recovery in the elderly after major surgery: assessment of mobility recovery using wireless technology. The Annals of thoracic surgery, 96(3), 1057-1061.http://dx.doi.org/10.1016/j.athoracsur.2013.06.057

Etherington, D. (2014). Amazon Echo Is A $199 Connected Speaker Packing an Always-On Siri-Style Assistant. Tech Crunch, 6.

M. Mendoza. (2014). Jaguar Land Rover Develops Self-Learning, Intelligent Car. Tech Times. 17 July 2014

Tim Allen. (2017). How to Solve IoT's Big Data Challenge with Machine Learning. Digitalist Magazine. Internet of Things.

Devi, T.J.B., Subramani, A., & Solanki, V. (2017). Smart City: IOT Based Prototype for Parking Monitoring and Management System Commanded by Mobile App. Volume 10, ACIS, Poland. DOI .https://doi.org/10.15439/2017R23

Dhall & Solanki. (n.d.). An IoT Based Predictive Connected Car Maintenance Approach. International Journal of Interactive Multimedia and Artificial Intelligence. Volume 04, No 03, DOI .https://doi.org/10.9781/ijimai.2017.433

Son, L.H., Jha, S., Kumar, R. et al. Telecommun Syst (2018). https://doi.org/10.1007/s11235-018-0481-x

Published

2018-06-18

How to Cite

Chatterjee, J. M. (2018). IoT with Big Data Framework using Machine Learning Approach. International Journal of Machine Learning and Networked Collaborative Engineering, 2(02), 75–85. Retrieved from https://mlnce.net/index.php/Home/article/view/37