Wireless Body Area Network (WBAN) based Health Care Monitoring: A Comprehensive Review

Abstract

The Internet of Things (IoT) based Wireless Body Area Networks (WBAN), play a very important role in the implementation of IoT devices. It is an upcoming research area in which we implement new advancement techniques, such as various algorithms. In this research, we explore how to secure IoT devices from cyber-attacks and also define how to handle the communication packets between IoT devices. Some IoT devices require more resources for communication so we define the techniques used to reduce these resources. The main purpose of this review is to provide a quick review of all techniques for novice researcher who wants to start their research in this domain. Now the universe is getting smaller due to a sharp growth in scientific and technological research. The development of communication technologies over the past few decades is remarkable. It has gotten harder for medical associates to take care of the patients by coming into the hospital and then personally checking them. The population of the world is increasing and the area is getting smaller. The development of wireless communication has provided a solution to these issues in the form of a remote health monitoring system. The WBAN in the domain of medicine provides the best way for patient monitoring inside or outside the hospital. Through WBAN, we can easily monitor the patient's state without visiting the hospital. WBAN is used in multiple areas such as energy-saving, eHealth monitoring systems to maintain the quality services of data, and many other areas. In this paper, we survey the current state of various aspects of WBAN technologies that are being used in healthcare applications, the targeted area is the eHealth monitoring system. Using multiple WBAN techniques, we aim to identify which techniques are giving better results in data transmission, storing, and maintaining patient data privacy and also identify the best performance using multiple techniques based on the two most important parameters such as ‘throughput’, and ‘delay’. These parameters estimate the overall performance of any WBAN system. We collected data from the last 15 years' papers. The major contribution of this paper is to identify the best technique in e-healthcare among all in terms of delay and throughput used in the past recent years.