@article{(Open Science Index):https://publications.waset.org/pdf/931, title = {A Low Power SRAM Base on Novel Word-Line Decoding}, author = {Arash Azizi Mazreah and Mohammad T. Manzuri Shalmani and Hamid Barati and Ali Barati and Ali Sarchami}, country = {}, institution = {}, abstract = {This paper proposes a low power SRAM based on five transistor SRAM cell. Proposed SRAM uses novel word-line decoding such that, during read/write operation, only selected cell connected to bit-line whereas, in conventional SRAM (CV-SRAM), all cells in selected row connected to their bit-lines, which in turn develops differential voltages across all bit-lines, and this makes energy consumption on unselected bit-lines. In proposed SRAM memory array divided into two halves and this causes data-line capacitance to reduce. Also proposed SRAM uses one bit-line and thus has lower bit-line leakage compared to CV-SRAM. Furthermore, the proposed SRAM incurs no area overhead, and has comparable read/write performance versus the CV-SRAM. Simulation results in standard 0.25μm CMOS technology shows in worst case proposed SRAM has 80% smaller dynamic energy consumption in each cycle compared to CV-SRAM. Besides, energy consumption in each cycle of proposed SRAM and CV-SRAM investigated analytically, the results of which are in good agreement with the simulation results.}, journal = {International Journal of Computer and Information Engineering}, volume = {2}, number = {3}, year = {2008}, pages = {649 - 653}, ee = {https://publications.waset.org/pdf/931}, url = {https://publications.waset.org/vol/15}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 15, 2008}, }