Optimized Traffic Management for Improving Energy Efficiency in Cognitive Network
ShobhitVerma1, Vikas Raina2
1Mr. Shobhit Verma*, Bachelor, Department of Electronics and Communication, GRKIST, Jabalpur, India.
2Dr. Vikas Raina, Assistant Professor, Department of Computer Science and Engineering  Mody University, Rajasthan, India.

Manuscript received on November 10, 2019. | Revised Manuscript received on November 17, 2019. | Manuscript published on 30 November, 2019. | PP: 3783-3785 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8150118419/2019©BEIESP | DOI: 10.35940/ijrte.D8150.118419

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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: The overhead of a particular node in the network depends on its position with respect to packet forwarding capability and total number of nodes in direct contact. In cognitive radio network, the primary user detection and spectrum sharing mechanism consist of two phases which constitutes the sensing mechanism as first phase and second phase of spectrum allocation along with finalization of end to end route of communication. The base idea of route establishment is derived from AODV protocol while proposing the traffic aware route establishment mechanism. The established route by using simple AODV has lots of limitations such as common router selection in multiple routes due to its direct being in range scenario.The proposed method shows significant improvement in energy efficiency due to reduction in overall overhead based on dual valued information exchange based route establishment mechanism. The results obtained thorough simulations show better improvement in the energy efficiency.
Keywords: Cognitive Radio Network, Traffic Aware Route Establishment, Spectrum Allocation, Dual Valued Information Exchange.
Scope of the Article: Network Traffic Characterization and Measurements.