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Smart city article details
| Title | System Architecture For A Wireless Sensor Network For Sustainable Agriculture, Forestry And Green Spaces In Smart Cities |
|---|---|
| ID_Doc | 54269 |
| Authors | Rosewick S.; Schorlemer F.; Kunemund F. |
| Year | 2023 |
| Published | Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS |
| DOI | http://dx.doi.org/10.1109/IDAACS58523.2023.10348735 |
| Abstract | This paper presents a wireless sensor network employing heterogeneous mobile robot platforms designed for data-acquisition and research in agriculture, forestry and green spaces in smart cities. Where conventional sensor networks struggle with a lack in flexibility, little variation in their reading points and no possibilities in mobile manipulation, this approach offers new capabilities in accomplishing complex tasks in outdoor and indoor scenarios. A wheel driven robot platform in combination with multiple UAVs11Unmanned Aerial Vehicle forms the basis for the mobile sensor network which can make use of a wide variety of sensors and actuators. The system benefits from new developments in controlling multi-agent systems as well as machine-learning-algorithms for local and independent data-analysis. © 2023 IEEE. |
| Author Keywords | forestry; machine learning; mesh-networks; mobile robots; multi-agent systems; neural networks; precision agriculture; UAVs; wireless sensor network |
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