Noise Filtering, Channel Modeling and Energy Utilization in Wireless Body Area Networks

TL;DR

This paper discusses challenges and solutions in Wireless Body Area Networks for elderly care, focusing on channel modeling, noise filtering, and energy efficiency to optimize healthcare monitoring systems.

Contribution

It highlights multiple issues in BAN infrastructure and proposes solutions, emphasizing noise filtering, channel modeling, and energy utilization for improved elderly care.

Findings

Analysis of various channel models and their characteristics.

Evaluation of noise filtering techniques in BANs.

Impact of impairments on energy consumption and system performance.

Abstract

Constant monitoring of patients without disturbing their daily activities can be achieved through mobile networks. Sensor nodes distributed in a home environment to provide home assistance gives concept of Wireless Wearable Body Area Networks. Gathering useful information and its transmission to the required destination may face several problems. In this paper we figure out different issues and discuss their possible solutions in order to obtain an optimized infrastructure for the care of elderly people. Different channel models along with their characteristics, noise filtering in different equalization techniques, energy consumption and effect of different impairments have been discussed in our paper. The novelty of this work is that we highlighted multiple issues along with their possible solutions that a BAN infrastructure is still facing.