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   RFIDrone: UAVs with RFID technologies

The Tag-Drone can be interpreted as a sensor with flying capability in order to highlight that only elementary UAV features are expected. The Tag-Drone may be used in standalone mode or according to the more fascinating swarm configuration (like bees) cooperatively collecting information within a same environment. Tag-drones should have small size so that they could be referred to the technology of micro-drones.


The Reader-Drone system consists of a suitable UAV hosting an autonomous RFID reader to act as mobile scanner of the environment. The drone can be manually or automatically remotely driven to approach tags displaced on a surface and retrieve sensed data. Sampled data may be stored on-board for a later-time recovery when the drone comes back, or may be instead transmitted in real time to a fixed base station placed in radio visibility with the drone itself.

The Reader-Drone technology involves specific features, with respect to standard ground-level inventory and sensing, such as:

i)               the very limited power budget, allowing for only short reading sessions,

ii)             tags placed at a very close distance from a large surface, or directly attached over it,

iii)            a moving agent

iv)            the need to quickly approach the tags from a remote distance.

The concept of Reader-Drone’s footprint is related to the ability of an Reader-Drone framework to detect sensors over the surface of interest in the shortest possible time in order to comply with its limited power autonomy.

RFIDrone: Preliminary Experiments and Electromagnetic Models
M. Longhi, G. Casati, D. Latini, F. Carbone, F. Del Frate and G. Marrocco, URSI International Symposium on Electromagnetic Theory (EMTS 2016), 14 - 18 August 2016, Espoo, Finland.

The interrogation Footprint of RFID-UAV: Electromagnetic Modeling and Experimentations
G. Casati, M. Longhi, D. Latini, F. Carbone, S. Amendola, F. Del Frate, G.  Schiavon and G. Marrocco, IEEE Journal of Radio Frequency Identification, vol. 1, no. 2, pp. 291-299, June 2017.

Ubiquitous Flying Sensor Antennas: Radiofrequency Identification Meets Micro Drones

M. Longhi and G. Marrocco, IEEE Journal of Radio Frequency Identification, vol. 1, no. 4, pp. 291-299, Dec. 2017.

RFID-based Localization for Greenhouses Monitoring Using MAVs
M. Longhi, Z. Taylor, M. Popovic, J. Nieto, G. Marrocco and R. Siegwart, IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communication (APWC 2018), 10-14 Sept. 2018, Cartagena des Indias, Colombia.

An Integrated MAV-RFID System for Geo-referenced Monitoring of Harsh Environments

M. Longhi, A. Millane, Z. Taylor, J. Nieto, R. Siegwart and G. Marrocco, IEEE Conference on Antenna Measurements and Applications (CAMA 2018), 3-6 Sept. 2018, Vesteras, Sweden.