  In this paper, we analyze a Cognitive Radio-based Internet-of-Things (CR-IoT)
network comprising a Primary Network Provider (PNP) and an IoT operator. The
PNP uses its licensed spectrum to serve its users. The IoT operator identifies
the white-space in the licensed band at regular intervals and opportunistically
exploits them to serve the IoT nodes under its coverage. IoT nodes are
battery-operated devices that require periodical energy replenishment. We
employ the Microwave Power Transfer (MPT) technique for its superior energy
transfer efficiency over long-distance. The white-space detection process is
not always perfect and the IoT operator may jeopardize the PNP's transmissions
due to misdetection. To reduce the possibility of such interferences, some of
the spectrum holes must remain unutilized, even when the IoT nodes have data to
transmit. The IoT operator needs to decide what percentage of the white-space
to keep unutilized and how to judiciously use the rest for data transmission
and energy-replenishment to maintain an optimal balance between the average
interference inflicted on PNP's users and the Quality-of-Service (QoS)
experienced by IoT nodes. Due to the periodic nature of the spectrum-sensing
process, Discrete Time Markov Chain (DTMC) method can realistically model this
framework. In literature, activities of the PNP and IoT operator are assumed to
be mutually exclusive, for ease of analysis. Our model incorporates possible
overlaps between these activities, making the analysis more realistic. Using
our model, the sustainability region of the CR-IoT network can be obtained. The
accuracy of our analysis is demonstrated via extensive simulation.

Performance;Networking and Internet Architecture