Energy Consummation in cognitive radio network using Different Methods
Shubhangi Gunjal1, Yogesh Kumar Sharama2, Satish Ramchandra Todmal3
1Shubhangi Gunjal, Research Scholar, Shri. JJT University, Churella, Jhunjhunu (Rajasthan), India.
2Yogesh Kumar Sharama, HOD, Research coordinator, Shri. JJT University, Churella, Jhunjhunu (Rajasthan), India.
3Satish Ramchandra Todmal, Academic Dean, JSPM’s Imperial College of, Churella, Jhunjhunu (Rajasthan), India.
Manuscript received on November 23, 2019. | Revised Manuscript received on December 30, 2019. | Manuscript published on December 30, 2019. | PP: 5480-5487 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3383129219/2019©BEIESP | DOI: 10.35940/ijeat.B3383.129219
Open Access | Ethics and Policies | Cite | Mendeley
© 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 cognitive radio and resource allocation techniques have been proposed for efficiently utilizing the radio resources. Cognitive radio is an emerging technology intended to enhance the utilization of the radio frequency spectrum and allocate the available resources correctly. The cooperative communication system, with the same total power and bandwidth of legacy wireless communication systems, can increase the data rate of the future wireless communication system. A combination of cognitive radio with resource allocation can further improve the future wireless network performance and reduces the energy consummation. Efficient resource allocation in cognitive radio network (CRN) is essential in order to meet the challenges of future wireless networks. In this Paper, we are going to discuss the different Localization Techniques, objectives and protocols used in the literature for resource allocation in CRN. This paper also highlights the use of power control, cooperation types, network configurations, and Energy consummation used in CRN. Finally, directions for future research are outlined of proposed algorithms for energy minimization.
Keywords: CRN, Cooperative communication, Resource allocation algorithms, Energy Consumption.