Performance analysis of QoS in IoT based cognitive radio Ad Hoc network

Abstract

AbstractSince the advent of Internet of Things (IoT), there is a dramatic increase in the number of devices being connected to networks. This increase causes spectrum shortage for devices competing to share the limited spectrum. Wireless IoT devices mostly utilize unlicensed radio spectrum. Soon, the bands in this spectrum will become overcrowded causing collisions among subscribers that will result in scarcity of spectrum. Therefore, in order to ease the smooth running and frequent proliferation in IoT objects, the efficient use of radio spectrum is necessary. One of the solutions to this problem is cognitive radio (CR) that has gained the attention among researchers. The network, formed by CRs, allows an unlicensed user to occupy and use the spectrum of a licensed user/primary user (PU) when the spectrum is found to be free. In this work, these two technologies are combined to get the advantages of both in ad hoc manner while relating this concept with trunking theory. The distances of CRs from nearby PUs are calculated using radio frequency identifications (RFIDs), and then based on these distances, some quality‐of‐service (QoS) parameters of CR network are analyzed. The main objective of this study is to go through the performance analysis of CR network integrated with IoT in the non‐queued system. Numerical results show that this integration is beneficial for the survival of future wireless technologies.