Abstract

Massive IoT systems operate at supply chain scale. Thousands of sensors track assets across warehouses, fleets, and partners. Bursty event streams overload legacy stacks. This paper analyzes scalability in multi-tier logistics. It derives equations for latency, stability, and capacity under peaks. Researchers build a testbed with dispatch patterns. The study proposes hybrid edge-cloud design. Event-driven processing forms the core. Microservices pair with serverless elasticity. Edge nodes run alerts and validations. Tiered paths sort hot, warm, cold data. Queues decouple producers from consumers. Hot paths scale alone. Gateways bridge MQTT, CoAP, AMQP, HTTP/2, gRPC. Security uses zero-trust, auto-enrolment, short credentials, signed OTA. Idempotent handlers manage retries. Circuit breakers block faults. Sagas handle transactions. Tests show gains. Tail latency drops at high rates. Backlogs clear fast in surges. Recovery speeds after faults. Results enable goals. Verification boosts efficiency. Towers enhance monitoring. Maintenance saves resources. Energy cuts emissions.