International Journal of Advanced Information and Communication Technology


Enhancing Energy in WBAN through Cognitive Radio Networks

M. Suriya, R. Swathi @ Roshini, P. Surya, R. Veeralakshmi, Velammal College of Engineering and Technology, Madurai, Tamilnadu, India.

International Journal of Advanced Information and Communication Technology

Received On : February 09, 2020

Revised On :March 12, 2020

Accepted On : April 12, 2020

Published On : May 05, 2020

Volume 07, Issue 05

Pages : 080-084

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.

Keywords


Wireless Body Area Network, Cognitive Radio Network, Body Sensor Network, Routing Protocols.

Cite this article


M. Suriya, R. Swathi @ Roshini, P. Surya, R. Veeralakshmi, “Design of Multiband Conformal Loop Antenna for Telemetry Applications,” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp. 85–88, Mar. 2020.

Copyright


© 2020 P. M. Suriya, R. Swathi @ Roshini, P. Surya, R. Veeralakshmi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.