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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F25%3A10258974" target="_blank" >RIV/61989100:27230/25:10258974 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-032-02106-9_2" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-032-02106-9_2</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-032-02106-9_2" target="_blank" >10.1007/978-3-032-02106-9_2</a>

Result language
angličtina
Original language name
Implementing IoT Technology on Mobile Platform: Edge-Cloud Integration and Data Handling
Original language description
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. © 2025 Elsevier B.V., All rights reserved.
Czech name
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Czech description
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Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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