Autonomous Sensor Node System for Table Tennis Officiating

Autonomous Sensor Node System for Table Tennis Officiating: Optimized Placement Using Enhanced Chimp Optimization Algorithm

: Accurate table tennis officiating for side ball decisions and net is challenging due to human error and the high cost of systems like Hawk-Eye, which require numerous sensors and lack adaptability. This study proposes an Autonomous Sensor Node System (ASNS) with three Triboelectric Nanogenerator (TENG)-powered acceleration sensors, optimized by the Enhanced Chimp Optimization Algorithm (ECOA) for Collision Point (CP) detection. ECOA integrates adaptive group dynamics, chaos-based seeding, and a dual exploration–exploitation strategy to balance global and local search refinement.