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Network Selection for Maximum Coverage using Regression Analysis in Deep Fading Environment

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Abstract

The paper focuses on the seamless transmission of the medical data between two points of e-health ecosystem. To successfully transmit the data one need to have a reliable network with required minimum signal strength and distortion. Based on system performance and its stability in accordance with the network, there are certain and quick variations in the network that could lead to distortion of data. The variation of signal strength during observation ranges in between − 90 and − 185 dBm. Transmission of signals from the basement to other location needs minimum threshold signal − 147 dBm for transfer of data with suitable speed. During analysis it was observed that some of the networks are not able to respond in deep fading environment, i.e., for basement signal transmission due to their installation criterion. The medical data transmitted from the basement need suitable selection of network in the given area. The above parameters are applied to the few hospitals in Greater Noida. UP (India) where the readings were taken at their respective basements to represent the signal strength with its fading parameters. Normally the basement fading tends to 25–35 dB in case of reception. The selection criteria in this paper is based on signal strength measurement, coverage analysis and regression analysis, prevail, that Worldwide Interoperability for Microwave Access is the best suited network for transmission of medical data from one place to another place with minimum cost.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, G. L. Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, 201306, India

    Piyush Yadav & Rajeev Agrawal

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  1. Piyush Yadav
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  2. Rajeev Agrawal
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Correspondence to Piyush Yadav.

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Yadav, P., Agrawal, R. Network Selection for Maximum Coverage using Regression Analysis in Deep Fading Environment. Wireless Pers Commun 106, 1057–1074 (2019). https://doi.org/10.1007/s11277-019-06203-6

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