Improved Proportional Fair Algorithm for Transportation of 5G Signals in Internet of Medical Things
Asish B Mathews1, G.GlanDevadhas2

1Asish,B Mathews, Research Scholar Department of ECE, Noorul Islam Centre for Higher Education Kanyakumari, Tamil Nadu, India.
2Dr. Glan Devadhas, Professor, Dept of EIE, Vimal Jyoti Engineering College, Kannur, Kerala.

Manuscript received on November 16, 2019. | Revised Manuscript received on 25 November, 2019. | Manuscript published on December 10, 2019. | PP: 1810-1814 Volume-9 Issue-2, December 2019. | Retrieval Number: B7471129219/2019©BEIESP | DOI: 10.35940/ijitee.B7471.129219
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Abstract: The Internet of medical things (IoMT) is a hybrid network in which numerous technologies like Bluetooth, Wi-Fi, and Cellular technology are integrated on a single platform. The internet of things applied to the medical healthcare necessitates enormous data rate and tremendous bandwidth along with better battery life with reliable and versatile connectivity. The use of 5G network satisfies these prerequisite with its tremendous data rate capabilities and assists human health services diagnosis and treatment. In this paper, improved proportional fair algorithm is introduced and is compared with existing scheduling algorithm for developing revolutionary changes in the medical healthcare.5G networks represent a contemporary approach which encounter a hybrid digital network for developing Internet of things. Performance metrics considered for simulation studies are throughput, path-loss and SNR. 
Keywords: 5G Network, Greedy Algorithm, Round Robin Algorithm and Improved Proportional Fair.
Scope of the Article: Algorithm Engineering