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- W3116723830 endingPage "103381" @default.
- W3116723830 startingPage "103381" @default.
- W3116723830 abstract "The Industrial Internet of Things (IIoT) has the potential to deeply change the technological landscape in factories, transforming the way automation procedures are performed and relevant objects are identified. For that, however, reliability and performance issues have to be considered when providing the expected communication services. When employing Radio-Frequency Identification (RFID) in an IIoT context, previous works have struggled to improve the efficiency of RFID-complaint systems, usually defining mathematical models for planning and quality assessment. Nevertheless, such models are designed based on error-free communications, which are unreal when considering the error-prone nature of wireless communications in industrial plants. Therefore, this article defines a new formal model based on Generalized Stochastic Petri Nets (GSPN) for RFID communications, modelling different possibilities for errors between readers and RFID tags. Since this proposal employs the EPCglobal UHF Class 1 Gen2 parameters as reference, which are already adopted by the Dynamic Frame Slotted Aloha anti-collision protocol for passive RFID systems, this model can be exploited to assess the reliability and performance of different RFID medium access protocols when assuming noisy channels, supporting better comparisons among different algorithms and protocols. Simulation scenarios are defined to present reliability and performance results when assessing RFID tags reading, which are valuable when designing and maintaining IIoT applications." @default.
- W3116723830 created "2021-01-05" @default.
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- W3116723830 date "2021-02-01" @default.
- W3116723830 modified "2023-10-02" @default.
- W3116723830 title "A reliability and performance GSPN-Based model for anti-collision RFID algorithms under noisy channels in industrial internet of things" @default.
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- W3116723830 doi "https://doi.org/10.1016/j.compind.2020.103381" @default.
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