In recent decades, the health surveillance system has expanded with new technologies and funds in developing countries in accordance with international standards. Due to inadequate data protection and large medical records, e-health tracking is lagging. Devices that need a lot of power to act as a network become expensive. The limitations of data security, inadequate bandwidth, and high-power devices have led to the creation of a hybrid wide-area network that uses low-power devices. The current study employs an E-Health monitoring system with low-power devices in a hybrid large-area network. The channel optimization algorithm regulates the data rate and bandwidth of the channel. The optimization method allows medical records contained in a computer system to be transmitted. Medical records are distributed using Artificial Intelligence in response to requests from patients and doctors (AI). Protection for the e-health monitoring system is provided by the security system and its data base. Fast speed, optimised data rate for medical data, and low power devices are all advantages of the proposed system. The performance of the system was compared to that of an existing 3G e-health monitoring system.
Author (s) DetailsM. Monisha
Vels Institute of Science Technology and Advanced Studies, Chennai, Tamil Nadu 600117, India.
P. Vijayalakshmi
Vels Institute of Science Technology and Advanced Studies, Chennai, Tamil Nadu 600117, India.
V. Rajendran
Vels Institute of Science Technology and Advanced Studies, Chennai, Tamil Nadu 600117, India.
D. Ravikumar
Vels Institute of Science Technology and Advanced Studies, Chennai, Tamil Nadu 600117, India.
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