IoT-Enabled Smart Mobility in Logistics: A Fog Computing Approach to Urban Transport
摘要
IoT-Enabled Smart Mobility in Logistics offers a novel approach to enhance logistics and supply chain management in urban transport by integrating embedded systems, sensor network system, and fog computing. The system employs the ESP32 SoC as the central processing unit, facilitating local data processing at the edge rather than in the cloud center, thereby significantly reducing latency, minimizing data transmission costs, and improving operational efficiency, particularly in settings with restricted or sporadic internet connectivity. The system also employs RFID tags for efficient product identification, facilitating automated tracking and inventory control management. A consortium of sensors, including tilt, temperature, humidity, and poisonous gas sensors, perpetually monitors shipment conditions and product status in live time, thereby insuring product integrity and safety throughout storage and transportation. The data gathered from these sensors is processed locally by the ESP32 SoC and forwarded to Node-RED fog computing platform facilitating prompt decision-making and immediate response to any identified anomalies. The Node-RED platform offers an intuitive dashboard that delivers real-time updates, system notifications, detailed analytics and telegram notification. This web dashboard is available on mobile devices and personal computers, enabling logistics managers to remotely oversee inventory, track shipments, and swiftly address possible concerns. By integrating the advantages of fog computing, such as diminished latency, improved security, and optimized data management. It is versatile across multiple sectors, such as retail, healthcare, food storage, and manufacturing, offering increased safety, superior decision-making, and optimized operations throughout the logistics and supply chain network.