Energy-efficient majority voting in digital logic design

Efficient decision-making is essential in modern digital systems to improve both performance and energy efficiency. This paper introduces a novel Majority Decision Architecture aimed at minimizing hardware area and power consumption. The design incorporates techniques such as approximate adder trees, early termination strategies, and compact encoding schemes to achieve significant reductions in resource usage. Targeted at scenarios involving the aggregation of multiple classifier outputs, the architecture efficiently determines the final decision class. Hardware synthesis and power evaluations reveal that the proposed approach reduces logic utilization by more than 60% and cuts dynamic power usage by approximately 50%, with negligible effects on static power. These improvements are achieved without compromising the accuracy of the decision-making process, highlighting the architecture’s suitability for powersensitive and performance-critical applications.