Development of Neural Wireless Networks for Biomedical Applications

Abstract

Biomedical applications require reliable and efficient mechanism of simultaneous transmission of pertinent data. The improvisation schemes for wireless protocols in health based sensor need proficient throughput as well as encoded and encrypted broadcast. The analysis of these methodologies is an extensive question which has been targeted in this work. After years of typical research into biomedics, we implement and verify the construction of certain wide-area network, which embodies the practical principles of theory. The neural algorithm presented in this work has high throughput due to which it adapts to various situations. Referred to as BIOM, we use replicated information to verify that the current wireless protocols can be made homogeneous, concurrent, and metamorphic.