ETHER: A Sensor-Driven Architecture for Physical Signal Integration in Resource-Constrained Mobile Computational Nodes

This preprint introduces a structural design methodology for transitioning low-power mobile computing nodes from closed stochastic environments to open, physically-grounded field instrumentation systems. The Presignal Anti-Randomizer Law is formalized as an engineering principle: pseudo-random number generation (PRNG) is rejected as a data source and replaced entirely with direct hardware sensor measurement. The ETHER v3.0 Progressive Web App (ether-listen.netlify.app) implements this architecture across consumer mobile hardware using three simultaneous sensor channels — accelerometer, gyroscope, and microphone — mapped against a 1,200-word dictionary. Output is triggered only when the real-time sensor delta (Δ|S|) exceeds a user-configured threshold. The system is silent by default. Signal produces output. Silence produces nothing. Additional contributions include a geometric optimization framework based on isoperimetric hexagonal tessellation for data pathway efficiency, and a unified sensor-narrative state space model in which the physical environment functions as the operational controller rather than a passive input. A live comparative analysis demonstrates categorical differentiation from existing timer-based or randomly-seeded spirit box and EMF monitoring applications. All processing is strictly local. No sensor data is transmitted externally. The architecture guarantees total data privacy and zero transmission latency Live implementation: ether-listen.netlify.app | Signal Scope MK III: signalscopex11.netlify.app | Presignal Research Initiative, Niagara Region, Ontario, Canada | Contact: [email protected]