Модель контекстно-залежної адаптації системи корекції помилок для енергообмежених обчислювальних систем

Abstract

This work addresses data integrity in distributed systems like IoT and Edge Computing, where static error correction methods are inefficient in variable environments. This paper proposes an FPGA-oriented adaptive model that dynamically switches coding modes, from Bypass and Hamming to LDPC, based on channel state, battery levels, and QoS. Controlled by a finite state machine with hysteresis, the system uses clock gating to reduce power consumption. Analytical results confirm that this approach ensures reliability while extending node autonomy, offering a vital strategy for the next generation of resilient, selforganizing sensor networks