Extended Application Algorithm Link Power Reduction in Real Time Bio Network on Chip Dr. Sakthivel E.*, Dr. Malathi V.**, Dr. Arunraja M.*, Dr. Tamilselvi S.***, Dr. Vijayarajan S.**** *Associate Professor, Department of Electrical and Electronics, SBM College, The Silicon Harvest, Madurai, India **Department of Electrical and Electronics, Anna University, Regional Campus, Madurai, India ***Associate Professor, Department of Electrical and Electronics, SSN College, The Silicon Harvest, Madurai, India ****Department of Electrical and Electronics, The Silicon Harvest, Madurai, India Online published on 2 August, 2016. Abstract An On-chip communication is a promising communication platform for enormous System on-Chip (SoC) designs. To ease the interconnection and bandwidth limitation problems in SoC design, a new communication platform is introduced i.e. Network on-Chip. A Conventional real time Network on Chip (NoC) router requires more area for implementation and its clock distribution is deterministic, and also it suffers high power consumption and low speed execution. To overcome these limitations a new algorithm is proposed in this paper an Extended Application Algorithm (EAA) Link, this novel algorithm which is applicable for all real time bio-NoC (RTBNoC) to reduce the power consumption. The EAA link for real time bio-medical gives 23% of reduction in energy usage when compared with other conventional real time NoC. The Real-time Network on-Chip implemented in SPARTAN 3 FPGA and its power and thread activities monitored using a GUI. Experimental results show that EAA link successfully adjusts link frequency and voltage Depends upon the packet size and threads allocated to the modules, This EAA Link method is applicable for all real-time bio-medical applications, which afford a guaranteed service without any performance degradation in On-chip communication. Top Keywords System on-Chip (SoC), Network on-Chip (NoC), Extended Application Algorithm (EAA), Real Time Bio-NoC (RTBNoC). Top |