Radio-Frequency Identification Zones in Open Environments: Maximizing the reading probability of high-speed tags

Xavier, Ademir L.; Celaschi, Sergio; Azana, Nilsa Toyoko; Shieh, P.J.; Santos, Tiago Felipe de Abreu

doi:10.1109/map.2017.2706650

Cited by 1 publication

(2 citation statements)

References 26 publications

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“…But people need to build a three-dimensional geometric computer model of the scene and determine the material properties for reflective objects firstly. In the view that the RF strength is mainly determined by the LOS and one time reflected waves in AVI/ETC application scenarios, the geometric relationships can be easily computed through the mirror method [1], [2], [7], [8]. The paper will simulate a typical case that a car needs to be identified with a large vehicle (a bus) inside the adjacent lane, as illustrated in Fig.…”

Section: Calculation Of Geometric Relationsmentioning

confidence: 99%

“…The character of nonstationary and Doppler frequency was simulated and measured for a vehicle to infrastructure scene considering the vehicle movement speed [7]. The influences of tag speed in multi-tag cases were studied simultaneously, but only a simple Poisson distribution was used to model the complex dynamical procedure [8]. Based on OMNeT++ and PyONS discrete-event simulators, the impact of parameters of protocol and propagation channels was analysed and simulated, but only statistical channel models were used in the simulation [9].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of Scene Geometry and Vehicle Speed on the Performance of RFID based AVI/ETC System

She

Sun

2021

2021 International Wireless Communications and Mobile Computing (IWCMC)

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Passive UHF Radio Frequency Identification (RFID) is a potential technology for Automatic Vehicle Identification (AVI) and Electronic Toll Collection (ETC) systems. However, the identification performance is often seriously influenced by the RF radiation zone and anti-collision protocol simultaneously. The impacts of scene geometry and vehicle speed on the identification rate are analyzed and modeled for a typical AVI/ETC application scenario. A calculation method of identification zone is firstly proposed based on the ray-tracing theory. Then the communication procedure is divided into three processes, which are also modeled using individual probability methods. Numerical simulations show that there are strong influences on the tag identification rate caused by the tag speed and antenna inclination angles, and we can obtain a higher identification rate through optimizing them.

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