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How can we minimize latency in IoT edge-to-cloud data transmission?
Asked on Feb 04, 2026
Answer
Minimizing latency in IoT edge-to-cloud data transmission involves optimizing communication protocols, data processing, and network configurations to ensure timely and efficient data flow. Leveraging edge computing can significantly reduce latency by processing data closer to the source before transmitting only essential information to the cloud.
Example Concept: Edge computing reduces latency by processing data locally on edge devices or gateways, which decreases the amount of data sent to the cloud and allows for immediate local decision-making. Using efficient protocols like MQTT or CoAP, which are designed for lightweight communication, further minimizes transmission delays and enhances real-time data handling.
Additional Comment:
- Implement data filtering and aggregation at the edge to reduce the volume of data sent to the cloud.
- Utilize Quality of Service (QoS) settings in MQTT to balance reliability and latency.
- Ensure network infrastructure supports low-latency communication, such as using 5G or dedicated IoT networks.
- Optimize edge device firmware to handle data efficiently and reduce processing time.
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