Abstract:
Radio Frequency Identification (RFID) technology is widely used in scientific and engineering applications, including integration with Unmanned Aerial Vehicles (UAVs) for object identification in hard-to-reach environments. Two key performance characteristics of such systems are the probability of successful tag reading and the reading time, both of which can be quantitatively described using semi-Markov process models. This paper considers two fundamentally different scenarios. In the first scenario, tags are sparsely distributed, which eliminates collisions. An analytical model is proposed to describe the interaction between the reader and a single tag. In the second scenario, densely placed tags lead to collisions. To evaluate system performance in this case, a discrete-event simulation model is developed. The model takes into account the specifics of the EPC Gen2 protocol, radio channel parameters, spatial configuration of tags, and data reading strategies. The paper compares analytical and simulation results and investigates how tag density, data volume, and UAV altitude affect reading performance metrics.
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