Flow-Based Multiple Spectrum Access in Cognitive Wireless Sensor Networks

Cognitive Wireless Sensor Networks have become an integral part of the Internet of Things and are envisioned to be utilized by a wide range of services. While equipping the sensor nodes with cognitive radios would allow for the different spectrum bands to be utilized efficiently, most of the developed channel allocation schemes assume the data transmissions to be restricted to a single spectrum band at any given time. In an effort to further enhance the network's performance, we propose an allocation scheme that allow for the nodes to simultaneously utilize the multiple spectrum bands. In this paper, we extend our previous results and present a model for analyzing the performance of the nodes that employ our proposed multiple spectrum band allocation scheme. This model can also be applied for determining the optimal scheduling of transmissions across the various spectrum bands.