P. Surendar ¹, A. Sridevi ¹, R. Sona ¹

Affiliations
1 Department of Electronics & Communication EngineeringmM. Kumarasamy College of Engineering (Autonomous), Karur – 639113, Tamil Nadu, IN

Abstract

Objectives: The target for effective spectrum utilization is termed as a essential factor in today’s fast growing technology and its current vary distribution arrangements, the vary usage effectiveness at a particular time and space is low. The throughput and delay has to be analysed and thereby bandwidth should be properly utilized. Methods/Statistical Analysis: Cognitive Radio (CR) is estimated as the technology that will improve the making use of the spectrum resources in upcoming generation unwired systems. It’ll sense a use spectrum in associate opportunist manner whereas not creating any damage to cognitive users. Prosper a cognitive feature radio approach strategy supported the exercise of a moving genetic formula for CR. Findings: The crossover operators as well as mutation operators are grown to remain the channel distribution set up constantly among the suitable state. Supported these methods, cheap employment is planned. Results display that our formula acquire acceptable results with all acceptable network interference and scale back the quantity of used channels. The cognitive radio is implemented using MATLAB and the energy efficiency analysis is done. The throughput and delay are analysed by simulation process using MATLAB. Application/Improvements: The aim of any routing protocol is to produce the fundamental Quality of Service (QoS) to the applications in terms of overall output and end-to-end delay. CRAHNs need capabilities to determine on the most effective spectrum band among the offered bands in line with the QoS necessities of the applications.

Keywords

Cognitive Radio, Throughput, Stackleberg Theory, CRAHN, GA, MATLAB

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A. Sridevi ¹, G. K. D. Prasanna Venkatesan ², R. Priyadharshini ¹

Affiliations
1 M.Kumarasamy College of Engineering (Autonomous), Karur – 639113, Tamil Nadu, IN
2 SNS College of Engineering, Coimbatore – 641107, Tamil Nadu, IN

Abstract

Objectives: The Content Addressable Memory (CAM), are often used in various application fields to get better performance with high efficient output. The high efficient output might be obtained with minimum delay and minimum power Consumption. Methods/Statistical Analysis: The CAM is used in real time application like data search, associative computing and in the field of networking, which involves a high speed search process. A proposed banked architecture is used to control the power dissipated, which is achieved by making small variation in hardware architecture. This proposed pre reckoning -based -CAM architecture uses parameter extractor which will save the power and time. Findings: Initially parameter extractor selects the process operator, based on selected operator which will choose neighboring parameter and leaves the far away limitation. The execution of the proposed design will be done by the Xilinx software. The power consumed in every module is cumulated during execution. Application/Improvements: The obtained results also show that our choice is correct by comparing the Banking architecture with the existing one. The Proposed Banked pre reckoning architecture has minimized the average power consumption up to 30% compared with the existing one.

Keywords

Banked Architecture, CAM, Parameter Extractor, Power Consumption, Pre- Reckoning

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