## 1 Introduction
### Related Work
His system can detect empty parking spaces thanks to the RFID reader mounted on the drone, and guide vehicles looking for a parking space to the nearest one. To validate the system feasibility and reliability, [PERSON] [7] has conducted some preliminary studies and experiments. The experimental results showed that the deployed reader can detect the tag successfully in both indoor and outdoor environments. The aim of the article presented by [PERSON] et al. [8] is to demonstrate the use of logistic technologies and automatic identification for tracking of manufactured passenger cars on consolidation areas in the form of an interpretive case study. Their article compares the potential implementation of GPS (global position system) technology and RFID (radio frequency identification) technology in combination with a drone for tracking of manufactured passenger cars in consolidation areas. The main conclusion of this paper [8] can be presented as follows. The article tested three scenarios in the form of an interpretative case study. The best solution for tracking of manufactured passenger cars on consolidation areas was identified in Scenario B (implementation of RFID technology) based on the results of an interpretative case study and selected criterion. [PERSON] et al. [9] established a trajectory planning model for UAVs (unmanned aerial vehicles) equipped with RFID readers based on inventory tasks. The performance constraints of UAVs are considered, and the cost-effectiveness ratio of UAVs was studied from the perspective of work. The algorithm's hybrid DE (differential evolution) algorithm uses the variability of the DE algorithm and introduces the roulette strategy and the population grading system strategy into the algorithm, which improves the global search ability of the lion algorithm, makes the algorithm more uniform and avoids the lion group. The authors presented a conclusion that it is easy for the algorithm to fall into a local optimal problem when dealing with the trajectory planning problem in the complex 3D environment. It improves the efficiency and safety factor of the UAV's inventory with high-precision portable RFID readers and effectively reduces the length of the flight path during inventory to reduce energy consumption. By comparing with other trajectory planning methods and manual inventory methods, they presented that the effectiveness of the algorithm in inventory has been verified. However, after obtaining the trajectory information, there is still a need for a flight controller to control the UAV equipped with RFID readers so that the UAV can strictly follow the planned flight path, the next step of their research is how to make the warehouse drone complete a self-made flight, but it requires more accurate mapping and positioning of the warehouse. [PERSON] [10] proposed a model that aims to measure resonant frequency of goods dielectric constants (permittivity) wirelessly from an aerial drone for safety and security purposes. As the author mentioned in [10], the proposed sensor uses a chipless RF, which has steadily emerged due to its low cost and strong identification system. A chipless RFID transponder has two parts and potentially multi-layer labels to re-radiate the electromagnetic wave in the vicinity of a reader and planar. Simulation results using CST (computer simulation technology) microwave studio and MATLAB tools confirm that enabling-RFID and drones for detecting the quality and safety of food is a promising and cost-effective approach.