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Efficient tag grouping RFID anti-collision algorithm for internet of things applications based on improved k-means clustering
Published 2023“…Dynamic Frame Slotted ALOHA (DFSA) is a de facto algorithm in the EPC Global Class-1 Generation-2 protocol for Radio Frequency Identification (RFID) tag collision problem. …”
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Missing tags detection algorithm for radio frequency identification (RFID) data stream
Published 2019“…RFID technology is a radio frequency identification services that provide a reader reading the information of items from the tags. …”
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Grouping based radio frequency identification anti-collision protocols for dense internet of things application
Published 2022“…Furthermore, literature review shows tag grouping is becoming popular to improving the efficiency of the RFID system. This paper analyzes selected grouping-based algorithms. …”
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Optimization of supply chain management by simulation based RFID with XBEE Network
Published 2015“…Among the widely used technology in recent years is Radio Frequency Identification (RFID). It is an advanced Auto-ID wireless network based configuration system used for identification and tracking of items movement data. …”
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Modelling of the anti-collision algorithm in RFID system: article / Shafinaz Ismail
Published 2014“…To avoid these collisions, there are several anti-collision algorithms used in the RFID system. The major classifications of the algorithms are Aloha based protocols and tree based protocols. …”
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Modelling of the anti-collision algorithm in RFID system / Shafinaz Ismail
Published 2014“…To avoid these collisions, there are several anti-collision algorithms used in the RFID system. The major classifications of the algorithms are Aloha based protocols and tree based protocols. …”
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RFID-enabled supply chain detection using clustering algorithms
Published 2015“…Radio frequencies refer to the electromagnetic energy that we transmit the identification information from tags to its reader. Radio Frequency Identification (RFID) transmits the data without line of sight. …”
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PSO and Linear LS for parameter estimation of NARMAX/NARMA/NARX models for non-linear data / Siti Muniroh Abdullah
Published 2017“…PSO is a swarm-based search algorithm perform a stochastic search to explore the search space. …”
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Enhancing counterfeit tag detection for RFID system using slotted aloha
Published 2021“…Radio Frequency Identification (RFID) is a technology that is used for wireless monitoring, tracking and identification of an object. …”
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Radio Frequency Identification (RFID) Indoor Parking Control System
Published 2017“…Frequency Identification (RFID) Parking Control System is a control and monitoring system designed for using at residential condominiums, gated communities, business parking garages, university parking areas, and hospitality or retail centers. …”
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RFID data reliability optimiser based on two dimensions bloom filter
Published 2017“…In this paper, a single approach, which based on Bloom filter was proposed to remove both dirty data from the RFID data streams. …”
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Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm
Published 2020“…In conclusion, this study presented a novel hybrid evolutionary algorithm based on the combination of AHP with GBCS to specify optimal RFID reader positions and amount based on the working train station domain. …”
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Optimal neural network approach for estimating state of energy of lithium-ion battery using heuristic optimization techniques
Published 2023Conference Paper -
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Investigation of features for classification RFID reading between two RFID reader in various support vector machine kernel function
Published 2022“…Radio Frequency Identification (RFID) is the primary technology for tripartite logistics information and automation. …”
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An efficient approach to detecting missing tags in RFID data stream
Published 2018“…RFID technology is a Radio frequency identification system that provides a reader reading the data item from its tag. …”
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Electricity demand forecasting in Turkey and Indonesia using linear and nonlinear models based on real-value genetic algorithm and extended Nelder-Mead local search
Published 2014“…These problems resulted in estimation errors and high computational cost. Hybrid genetic algorithm (GA) and Nelder-Mead local search mode 1 has been used to minimize demand estimation errors. …”
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