An overview of wireless body area network (WBAN) using zigbee technology

Anupam Jain , Minakshi Halder

Keywords— WBAN, Zigbee, Sensors, Health Monitor, Routing Protocols.

Abstract—Wireless Body Area Networks (WBANs) is one of the latest approach in medical identification, management and also key building block for future intentional networks and Internet. Patient monitoring in a hospital environment is becoming more and more complex with multiple parameters (ECG, EEG, temperature & pressure etc.) to be measured and the need of network that gathered data from many patients for observation at a central monitoring station. Wireless BAN has a capability to process and communicate data of heart beat, respiration, body temperature and blood pressure. Non-invasive sensors can be used to mechanically monitor physiological reading, which can be forward to nearest devices, as cell phone as a gateway. Among different multiplexing approaches like TDMA, FDMA, CDMA, SDMA best one is taken and the work will also involve selection and acquisition of biomedical sensors. The IEEE 802.15.4 (zigbee) is used to provide a low-power, low data rate protocol offering a high reliability. In this paper, we present an overview of wireless body area network (WBANs) & its applications.

Published Paper   E-Certificate

"An overview of wireless body area network (WBAN) using zigbee technology", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 5, page no.888 - 895, June-2016, Available :https://ijsdr.org/papers/IJSDR1605159.pdf

Volume 1 Issue 5, June-2016

Pages : 888 - 895

Paper Reg. ID: IJSDR_160445

Published Paper Id: IJSDR1605159

Downloads: 000347065

Research Area: Engineering

Country: Indore, Madhya Pradesh, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1605159

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1605159

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition