Optimized Throughput and Minimized Energy Consumption Through Clustering Techniques for Cognitive Radio Network
Anant R. More1, M.S.G. Prasad2, Wankhede Vishal A3
1Mr. Anant R. More, P.H.D. Scholar, K.L.E.F. Guntur, Andhra Pradesh, India.
2Dr. M.S.G. Prasad, Head of Department, Electronics and Communication Engineering, Kolkata Knight Riders, Institute of Technology & Sciences, Tamil Nadu, India.
3Dr. Wankhede Vishal A., Professor and Head, Department of Electronics & Telecommunication, SNJBs K.B. Jain CoE, Chandwad, Nashik, India, K.L.E.F., Andhra Pradesh, India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript Published on 20 March 2019 | PP: 474-479 | Volume-8 Issue- 4S2 March 2019 | Retrieval Number: D1S0103028419/2019©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: The most important problem in contemporary wireless network is radio resource usage with the limited range of radio signals. In the high frequency bands, radio resources can be used less because it increases the delay in network and reduces the packet delivery ratio. Estimating path and sending data by using the available resources in network are the closed application of wireless network. By using CR Network in the system one can be able to achieve the closed cooperation, better performance and lower complexity. In order to enhance the proficiency, the Routing should be considered jointly with the resource allocation. One of the objectives of doing this is to minimize the energy consumption by using limited resources and Spectrum. The CR Network would be the most popular wireless network in the field of wireless technology as it may solve the problem of spectrum scarceness, under-utilization & resource allocation. In the proposed algorithm for CRN, path has been created between source node and destination node in such a way that path causes least interference to other nodes and gets the maximum throughput & minimizes the delay. This Paper presents the simulation environment in order to obtain efficient Spectrum Allocation or Resource Allocation of the available spectrum for CRN, Performance gains in terms of throughput and minimum end-to-end delay. The algorithm is implemented using NS2 tool.
Keywords: WMN, CRN, Spectrums, Clusters.
Scope of the Article: Communication