IoT Product Engineering for Resilient Connectivity: Edge AI Embedded Systems in SDR Mesh Networks
Introduction: The Challenge of Resilient and Reconfigurable Radio Networks
Industrial sites (mining, ports, heavy manufacturing) require resilient, reconfigurable radio networks that can adapt to spectrum congestion, changing topologies, and site-specific interference. Commodity narrowband radios lack the agility and SDK-level control needed for this multi-tenancy and interference-tolerant environment, demanding a sophisticated smart infrastructure solution.
Solution Overview: Edge AI Embedded Systems with Software-Defined Radio
EurthTech implemented a Software-Defined Radio (SDR) mesh fabric providing flexible, reconfigurable wideband links. The nodes are Edge AI embedded systems that host a waveform runtime, allowing on-the-fly switching between narrowband FSK for robust telemetry and OFDM/QAM for high-throughput video backhaul. This approach consolidates multiple radio silos and is a key enabler for Predictive maintenance AI IoT across the campus.
Technical Implementation: Embedded Systems Development and GeoAI
The embedded systems development utilizes SDR nodes (FPGA + RF) running a hybrid TDMA/CSMA scheduler for deterministic low-latency slots. We implemented frequency-agile OFDM with sub-band hopping and adaptive modulation. The SDR nodes provide per-packet metadata (RSSI, SNR, interference) for the mesh controller to perform adaptive routing and local fast-reroute capabilities with sub-100 ms failover. This network intelligence forms a foundational layer of GeoAI for dynamic RF topology management.
Results & Impact: AI Engineering and Smart City Solutions
Field trials across a 3 km industrial campus achieved 99.7% telemetry delivery under moderate interference and <100ms reroute for reserved flows. The SDR mesh reduced single-point-of-failure risk and allowed rapid reconfiguration, improving device uptime during maintenance cycles. The success of this AI engineering solution confirms our capability as a smart city solutions provider for critical industrial communications infrastructure.
Scalability & GIS Context: Security is built-in with AES-256 encryption, secure element identity, and A/B OTA with rollback. Deployment involves careful RF planning and site surveying to optimize mesh geometry, which are core geospatial engineering services required for such large campuses. We provide certification checklists and operator training for waveform management, leveraging our expertise as a GIS consulting company.