DECREASING THE POWER CONSUMPTION IN WIRELESS BODY AREA NETWORKS: A TECHNICAL SURVEY

Abstract

Chronic health disease such as hypertension, diabetes, high blood pressure, heart attack, cancer and asthma
have spread across the world. Health-care wireless body area networks (WBANs) have been widely deployed by medical
professionals to manage and monitor the health information of a patient remotely, and various data-management approaches
have been used to handle the continuous transmission of WBAN data. The data segregation and classification approach is
considered one of the most promising WBAN data-management technique among the extant state-of-the-art approaches.
This approach considered promising as it play an important role in avoiding network congestion ,however it will consumes
more energy from the sensor while transmitting information which is accumulated in the buffer in the network. This paper
gives the research which is intended to solve this problem by a novel classification scheme which segregates the sensor’s
readings into urgent, semiurgent and nonurgent packets. This article offers an architectural routing approach for a medical
that enables transmitting packets during the gateway failures in the network. The survey is made on performance evaluation
using OMNET++ simulator with varied performance metrics shows promising results, because verification outperforms the
extant state-of-the-art methods in terms of power consumption, packet delivery ratio, and the number of transmitted packets.