Abstract
The development in the methodologies of fundamental functional units of digital systems have raised the attention due to advancement in CMOS technology. Continuous demand of battery-powered portable electronics like cell phones, PDAs, and notebook computers has forced us to ensure low power dissipation in the CMOS circuits. One of the fundamental building blocks in digital design, MUX has been a major area of research interest for many years. System designers are showing a great emphasis on functional unit energy efficiency and technology scaling as a result. Ensuring low power consumption and building low power systems is a great challenge in the design of VLSI chips today and has become one of the key aspects of the electronic industries. In this article, fredkin gate is created using traditional PTL for developing an S:1 MUX. The circuit's power consumption is decreased as it is having fewer transistors. Initially in conventional 8:1 MUX the number of transistors used was more than 42. [1] In our article we have fredkin gate and hence the number of transistors can be reduced to 42. Hence a drop considerable drop in power consumption of 5-15 percent is observed.
| Original language | English |
|---|---|
| Title of host publication | 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing, PCEMS 2023 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798350310719 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing, PCEMS 2023 - Nagpur, India Duration: 05-04-2023 → 06-04-2023 |
Publication series
| Name | 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing, PCEMS 2023 |
|---|
Conference
| Conference | 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing, PCEMS 2023 |
|---|---|
| Country/Territory | India |
| City | Nagpur |
| Period | 05-04-23 → 06-04-23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition
- Signal Processing
- Electrical and Electronic Engineering
- Instrumentation
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