Abstract

The proliferation of computationally intensive applications, particularly post-quantum cryptographic implementations, has substantially elevated temporal overhead requirements for signal acquisition systems, necessitating enhanced transmission efficiency and operational stability. This paper addresses these challenges through a comprehensive analysis and optimization of multiple data transceiver mechanisms, which constitute critical performance determinants in contemporary acquisition architectures. We systematically examine performance bottlenecks across hierarchical system levels, from process-level I/O latency constraints to unit-level multi-protocol transmission characteristics, developing targeted optimization strategies including application-specific prioritization frameworks and systematic protocol selection between TCP and VXI implementations. Through data packet size optimization and protocol-specific enhancements, experimental validation on a RIGOL MSO8104 oscilloscope platform demonstrates performance improvements of up to 40-fold while preserving system stability metrics, providing a generalizable framework for designing high-performance signal acquisition systems across diverse application domains.