Custom IoT Five-Layer Framework Architecture

general · architecture diagram.

About This Architecture

Five-layer IoT framework spanning perception sensors through business intelligence, integrating temperature, humidity, motion, GPS, camera, and RFID devices via Wi-Fi, Zigbee, LoRaWAN, and 5G connectivity. Data flows through middleware components including Kafka event bus, RabbitMQ message queues, Flink stream processing, and InfluxDB time-series storage, enabling real-time analytics and ML model serving. The architecture demonstrates best practices for secure device management, edge processing, and enterprise integration with OAuth2 authentication, TLS encryption, and API gateway patterns. Fork this diagram to customize sensor types, protocols, and cloud backends for your specific IoT deployment. Advanced implementations can extend with digital twin simulation and predictive maintenance pipelines.

People also ask

What is a five-layer IoT architecture and how do sensors, connectivity, middleware, and applications work together?

A five-layer IoT architecture separates concerns across perception (sensors and edge devices), network (connectivity and gateways), middleware (event processing and storage), application (services and analytics), and business (dashboards and decisions). This diagram shows how temperature, motion, and RFID sensors connect via Wi-Fi and LoRaWAN to an IoT gateway, flow through Kafka and stream proces

Custom IoT Five-Layer Framework Architecture

AutoadvancedIoT architectureedge computingMQTT Kafkastream processingdigital twinmicroservices
Domain: Iot ArchitectureAudience: IoT architects and systems engineers designing end-to-end connected device ecosystems
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Created by

March 24, 2026

Updated

March 24, 2026 at 8:54 PM

Type

architecture

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