Abstract
Wireless Body Area Networks (WBAN) provides to measure various physiological and biological data and monitor human body functionalities. In this study, a cognitive radio based coordinator node is designed for Wireless Body Area Networks. Cognitive Radio is capable of connecting various wireless access points with perception and adaptation features. A simulation model has been developed for implementing cognitive radio enabled body area network for analyzing remote health monitoring system for humans. The prominent parameters such as user speed, access point delay, and connection cost are taken into account when selecting the wireless access point. A supervised machine learning technique called Particle Swarm Optimization (PSO) is adapted in the proposed model for improving Energy efficiency and reducing transmission delay in CR enabled WBAN. Simulation is performed using MATLAB and results indicate that the use of proposed PSO for WBAN performs efficiently compared to traditional methods based on MAC protocols.
Highlights
1.1 Wireless Body Area Network (WBAN) Wireless body area network for health monitoring is used to reduce the expense of healthcare due to continuous monitoring of the patient
A number of these devices can be integrated into a Wireless Body Area Network (WBAN), a new enabling technology for health monitoring
This motivated us to work on an effective node placement strategy for a body node coordinator (BNC), within a WBAN; and we propose three different BNC placement algorithms considering different features of available energy efficient routing protocols in a WBAN
Summary
1.1 WBAN Wireless body area network for health monitoring is used to reduce the expense of healthcare due to continuous monitoring of the patient. It is used for providing the real time scenario and diagnoses of diseases [1][2][3]. MBAN technology is used to provide healthcare facility to improve the quality of the patient to reach the critical levels. Optimization of Physical (PHY) and MAC layer processes result in reduced power consumption of transceiver. MAC layer provides higher level of energy savings by introducing multiple transmission scheduling schemes, optimal packet structure, smart signaling techniques and enhanced channel access techniques. How the wireless body area network is applied using CR network and by using PSO algorithm to calculate the energy efficiency for the proposed system
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
