Abstract

Wireless Body Area Networks provide 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 and a data priority queue structure is constructed in the coordinator node. Cognitive Radio is capable of connecting various wireless access points with perception and adaptation features. We have developed, modeled and simulated example network scenarios by using the Riverbed Modeler simulation software for this purpose. The prominent parameters user speed, access point delay, and connection cost are taken into account when selecting the wireless access point. In this way, the coordinator node provides to deliver data to the destination with priority and ensure to send data over optimum access point with minimum delay and cost.

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