A Real Time Estimation of QoS for GA and LOA Algorithm in Cognitive Radio Network

Abstract

Cognitive radio networks sets priority for users to provide improved QoS for primary users. In most cognitive radio networks the primary user is assigned highest priority for communication. This causes the secondary user to wait for communication. Hence, alternative methods employ for secondary user to make transmit data on channel reserved for primary users. The secondary users sense free channels by spectrum sensing mechanism. In this paper, Heuristic Greedy algorithm (GA) and Lion optimization algorithm (LOA) apply for efficient channel utilization to improve QoS. In GA algorithm, the spectrum is shared between primary and secondary users on a time basis. In LOA, the primary and secondary users share spectrum information with each other. The GA and LOA algorithm apply in hardware testbed to evaluate comparative QoS analysis in terms of power consumption, delay and bandwidth. The analysis show LOA algorithm provide better QoS compared to GA algorithm.