MEMRISTORS BASED TERNARY CONTENT ADDRESSABLE MEMORY DESIGN USING ROBUST DYNAMIC SIGNAL SEARCH METHOD

Abstract

One of the content addressable memories (CAM) is ternary CAM (TCAM), used for searching in networking. Demanding TCAM application is increasing day by day in search spaces. Application specific FPGA platform needs to execute TCAM. However, the existing design of TCAM based on FPGA are not efficient regarding storage and time. In this proposed strategy, hybrid design for a TCAM that uses both Transistors and memristors to overcome all issues. The proposed TCAM memory cell is investigated concerning several features, for example, memristance range and voltage threshold of the memristors to process quickly and effectively ternary information. A far-reaching simulation-based assessment of this TCAM is developed by Xilinx programming language utilizing Robust Dynamic Signal Search (RDSS) Method. Simulation work came out to exhibit that the execution of the proposed algorithms is better than past methods for improving the performance of search applications. Comparison with other memristor-based CAMs and also CMOS-based TCAMs demonstrates that the proposed memory cell consumes low power, reduced transistor count and increase search activity execution.