Optimized Method of Spectrum Sensing in Cognitive Radio Networks
S. Arulselvi1, M. Sangeetha2, S. Philomina3, B. Karthik4
1S. Arulselvi, Associate Professor Department of Engineering and Communication Engineering, Bharath Institute of Higher Education and Research, India.
2M. Sangeetha, Professor & HOD Department of Engineering and Communication Engineering, Bharath Institute of Higher Education and Research, India.
3S. Philomina, Associate Professor Department of Engineering and Communication Engineering, Bharath Institute of Higher Education and Research, India.
4B. Karthik, Associate Professor Department of Engineering and Communication Engineering, Bharath Institute of Higher Education and Research, India.
Manuscript received on 20 April 2019 | Revised Manuscript received on 05 May 2019 | Manuscript published on 30 May 2019 | PP: 18-21 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1389058119/19©BEIESP
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© The Authors. 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: Cognitive radio network major functional unit is spectrum sensing. It is one of the main challenges faced by cognitive radio ad hoc network environment. This paper put forward distributed repetitive time slot assignment procedure for SSI distribution on a committed general control passage the algorithms put forward depends on acknowledgment and collision detection scheme. It is facilitated by the network nodes for information reception about collisions regarding SSI packets send using this scheme. The data is used by nodes using a probabilistic approach to modify their operating time slots a parameter is maintained and updated by each instance of a crash probability of switching time slot is depicted. Adaptive and fixed probability depended methodologies are put forward. The procedure put forward are verified .to merge to an allocation that is free from collision with probability one if there is an existence of such an allocation. Furthermore, a mathematical expression forth anticipated convergence period is shown. Substantial simulation outcome depicting the quick convergence, magnificent throughput, and less reporting overhead of the put forward time slot allocation procedure were given.
Index Terms: Cognitive Radio, Convergence, Sensors, Cognitive Radio, Resource Management, Convergence, Collision Avoidance, Ad Hoc Networks, Time Division Multiple Access, Spectrum Sensing Information Sharing, Common Control Channel, Distributed Time Slot Allocation.
Scope of the Article: Mobile Adhoc Network