Performance Evaluation of CSMA/TDMA Cognitive Radio Using Genetic Algorithm
Maninder Jeet Kaur1, Moin Uddin2, Harsh K Verma3
1Maninder Jeet Kaur, Department of Computer Science Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, India.
2Moin Uddin, Pro – Vice Chancellor, Delhi Technological University, New Delhi, India.
3Harsh K Verma, Associate Professor, Department of Computer Science Engineering, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India,.
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 66-70 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0691052312 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Channel Assignment is a very important issue in the field of Wireless Networks. In this paper, we have evaluated the performance of a Multiple Channel TDMA/CSMA spectrum sharing scenario. We have combined the TDMA and the non-persistent CSMA system with multiple channels and analyzed the throughput and the throughput performance of the individual systems as a function of the actual offered traffic level. In this paper we have analyzed TDMA and CSMA in Cognitive Radio, where the primary users have higher priority than secondary users and secondary users need to monitor the channel in order to avoid the interference to the primary users. TDMA users are considered as primary users who can access the channel at any time and CSMA users are considered as secondary users who can share the channel when it is free.
Keywords: TDMA, CSMA, Cognitive Radio, Genetic Algorithm.