Journal of Artificial Intelligence, Virtual Reality, and Human-Centered Computing
Ezomgido: A Distributed Mobile Sensor Network Platform for Environmental Optimization Through Precision-by-Difference Surface Coordination
Abstract
Kundai Farai Sachikonye
This paper presents Ezomgido, a distributed sensor network platform for environmental optimization using guest mobile devices as real-time sensing nodes. The system operates through two spatially separated regions with surfaces that coordinate through precision-by-difference calculations using proximity-based sensor stream aggregation. Environmental optimization occurs through unified BMD equivalence where guest smartphone and smartwatch sensors provide real time biometric and environmental data streams. Each surface observer is implemented as mathematical combination of nearby guest sensor streams, with surfaces automatically adjusting when other surfaces achieve better performance metrics. The framework integrates distributed audio processing, mobile app commerce platform, and stream-only data processing for privacy protection. Mathematical formalization establishes precision-by-difference surface coordination, distributed sensor network algorithms, and temporal demographic optimization through natural guest flow. Technical specifications include mobile sensor aggregation protocols, surfaceto-surface difference calculations, and unified guest experience application architecture.