A RFID-Integrated Framework for Tag Anti-Collision in UAV-Aided VANETs

Abstract

In this paper, we investigate tags in anti-collision applications of radio frequency identification (RFID) technology in unmanned aerial vehicle (UAV)-aided vehicular ad hoc networks (VANETs). The integration of RFID technology in UAV-aided VANETs can provide reliable traffic-related services for vehicles. However, multiple tags’ simultaneous responses to a reader mounted on a UAV, denoted as tag collision, gravely affect the correct tag detection on each vehicle. Therefore, in order to decrease the collision probability and improve the throughput, we propose a multi-frequency tag identification method. In the proposed scheme, we devise a tag grouping method based on adaptive power control to make the reader dynamically match the optimal frame length. Based on the above matching results, we introduce a tag estimation method using the optimal weight to improve the accuracy of tag estimation. We theoretically analyze the closed-form expression of the security outage probability expression. Finally, our simulation results demonstrate that the proposed tag anti-collision scheme achieved significant performance superiority in terms of the throughput and identification time slots.

Navigation and mapping of closed spaces with a mobile robot and RFID grid

“…An attempt can be made to determine the position and direction of an object equipped with the RFID reader by analyzing data from transponders placed in known space locations [7][8][9]. Many of the existing studies are based on the use of the RSSI (Received signal strength indicator) method [10][11][12]. To increase the accuracy of position estimation, additional procedures such as odometry or Extended Kalman filter can be used [13].…”