Paper authored by Y. Spyridis, T. Lagkas, P. Sarigiannidis, V. Argyriou, A. Sarigiannidis, G. Eleftherakis and J. Zhang selected as “Editor’s Choice Article” by Sensors (IF: 3.576)

Paper authored by Y. Spyridis, T. Lagkas, P. Sarigiannidis, V. Argyriou, A. Sarigiannidis, G. Eleftherakis and J. Zhang selected as “Editor’s Choice Article” by Sensors (IF: 3.576)

The paper entitled “Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks”, authored by Y. Spyridis, T. Lagkas, P. Sarigiannidis, V. Argyriou, A. Sarigiannidis, G. Eleftherakis and J. Zhang, was chosen by Editor-in-Chiefs as a work of high interest, and was deemed to be highly important in its corresponding research area. The article considers the objective of tracing a mobile IoT device of unknown location, using a group of UAVs that were equipped with received signal strength indicator (RSSI) sensors. It is worth mentioning that the article was funded by the H2020 TERMINET project (957406), which is coordinated by the ITHACA lab.

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