Abstract
WBAN (Wireless Body Area Network) is one of the mostly used real time networks can be explained by certain limitations and constraints. The difficulties of the network occur because of the environmental constraints, device restrictions and architectural constraints. These problems also lift up various issues associated to network life, reliability and security. It is an automatic system utilized for the supervision of patients in circle condition. In the research, we have designed a network area with length and width of size 1000×1000 and 50 numbers of sensor nodes and the procedure is being iterated for almost six times. The research is being simulated in MATLAB environment. Parameters, namely, energy Consumption and Throughput have been used for checking the performance of the research. Optimization algorithm that is Genetic Algorithm is utilized for improving the performance of the parameters. The extraneous data is being removed by using Fuzzy logic classifier.
Highlights
Patient data monitoring is considered as a leading issue for disease and health management
Advancement for developing the sensors on patient body has been made in which the sensors are attached with the patient body without the requirement of gels [1]
This research has focused on GA (Genetic algorithm) for the optimization of the results
Summary
Patient data monitoring is considered as a leading issue for disease and health management. With this system, health information is significant when some patient is in serious condition or has some heart fetal case. Advancement for developing the sensors on patient body has been made in which the sensors are attached with the patient body without the requirement of gels [1]. The patient can be monitored by two types, namely, wired and wireless. The cables are linked with sensors and the collected data is executed and later stored in the dB (database). For the wireless monitoring system, not a single wire is integrated with the data and is transferred with the remote station by means of radio waves [2]
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