This paper examines the integration of IoT technology on mobile platforms, emphasizing edge-cloud collaboration and data management. Modern robots rely on advanced sensors and cameras to generate critical data for operation in dynamic environments. Efficient data collection, processing, and transmission to cloud platforms are key to optimizing performance. The paper highlights systems using depth cameras and wireless protocols like MQTT for reliable, low-latency communication with minimal data loss. Edge devices handle preprocessing, such as noise filtering and compression, to improve transmission. In the cloud, automated workflows store, analyze, and provide real-time insights, enhancing performance and enabling deployment in industrial and service applications.

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Implementing IoT Technology on Mobile Platform: Edge-Cloud Integration and Data Handling

  • Jakub Krejčí,
  • Marek Babiuch,
  • Rostislav Wierbica,
  • Vaclav Krys

摘要

This paper examines the integration of IoT technology on mobile platforms, emphasizing edge-cloud collaboration and data management. Modern robots rely on advanced sensors and cameras to generate critical data for operation in dynamic environments. Efficient data collection, processing, and transmission to cloud platforms are key to optimizing performance. The paper highlights systems using depth cameras and wireless protocols like MQTT for reliable, low-latency communication with minimal data loss. Edge devices handle preprocessing, such as noise filtering and compression, to improve transmission. In the cloud, automated workflows store, analyze, and provide real-time insights, enhancing performance and enabling deployment in industrial and service applications.