Intelligent process of spectrum handoff for dynamic spectrum access in cognitive radio network using swarm intelligence

Abstract

The CRN is an intelligent network in identifying the empty space from the spectrum without causing any interference to the primary user (PU). Due to the stable allocation of the channel, a lack of spectrum shortage problem occurs which gets resolved by the concept of the cognitive radio network (CRN). In this state, the secondary user (SU) is enforced to perform handoff during the arrival of the PU which contains higher priority. This paper suggests dynamic spectrum access to check the free channel for the SU during handoff and improved swarm-based cognitive radio is proposed to resolve this problem. Simulation results of the proposed algorithm are compared with the genetic algorithm and spectrum PSO. The experimental setup of the proposed algorithm provides the total bandwidth of the spectrum, SU bandwidth, signal to noise ratio, throughput and high data rates. This paper gives a better system performance over the spectrum handoff.

KEYWORDS:

• Cognitive radio networks (CRNs)
• swarm intelligence
• spectrum handoff
• spectrum sensing

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

M. Kalpana Devi

M. Kalpana Devi, an Assistant Professor, Department of Information Technology, Sri Ramakrishna Institute of Technology, Coimbatore, Tamilnadu, India has completed his Master's in Computer Science and Engineering from Anna University, Coimbatore. Currently, she is pursuing her Ph.D. in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. Her research areas include Cognitive Radio Networks, Mobile Communications, and Networking.

K. Umamaheswari

Dr. K. Umamaheswari a professor and the Head, Department of Information Technology, PSG College of Technology, India completed her Bachelor’s degree in Computer Science and Engineering in 1989 from Bharathidasan University and her master’s in Computer Science and Engineering in 2000 from Bharathiar University. She completed her Ph.D. in Anna University Chennai in 2010. She has been teaching for about 25 years. Her research areas include classification techniques in Data Mining and other areas of interest are Cognitive networks, Data Analytics, Information Retrieval, Software Engineering, Theory of Computation, and Compiler Design. She has published more than 90 papers in international, national journals, and conferences. She is a life member in ISTE and ACS and Fellow member in IE. She is the editor for National Journal of Technology, PSG College of Technology and reviewer for many National and International Journals.