Centroid-based primary user localization in Cognitive Radio Network using RSS

Abstract

The information about the positions of the primary users (PUs) is imperative for the functioning of Cognitive Radio Networks (CRNs) as it may turn out to be advantageous for improving the utilization of spectrum and also for avoiding the detrimental intervention. Extant Range-based techniques fail to work in some scenarios i.e. If the condition required for the application of trilateration method is not fulfilled which means the circle drawn for the SUs have no common point of intersection between them. Through this work we are moving one step further in making the CRN work more efficiently by presenting a Centroid based licensed user localization technique to get the location of PU (i.e. the licensed user) using RSS. The proposed method counts on the information obtained from three SUs and the Centroid concept to accomplish the localization process.