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Machine Learning Based Predictive Mechanism for Internet Bandwidth

Authors :
Swapnil R. Pokharkar
Sachin N. Deshmukh
Sanjeev Wagh
Source :
2021 6th International Conference for Convergence in Technology (I2CT).
Publication Year :
2021
Publisher :
IEEE, 2021.

Abstract

Internet of Things refers to the way that more and more physical devices are collecting and exchanging data over the internet. Internet of Things will have an increasing impact on bandwidth. Many Internet of Things devices operate wirelessly, while others are connected. Most IoT devices use less bandwidth, but many devices going online mean high bandwidth will be needed. As IoT grows, it will be necessary to have a platform which can accommodate this huge change. Due to the development of technology amount of data that is transmitted by devices is increased, which will need for increased bandwidth. For example, when smartphones start transmitting images and streaming video, need for bandwidth increases tremendously. There is no particular solution available for spectrum predictions. In this paper, we propose a machine learning prediction algorithm for internet bandwidth.

Details

Database :
OpenAIRE
Journal :
2021 6th International Conference for Convergence in Technology (I2CT)
Accession number :
edsair.doi...........3cec812ca599c053c08ba9fca7316299
Full Text :
https://doi.org/10.1109/i2ct51068.2021.9418164