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Добірка наукової літератури з теми "RFID Network Planning"

Автор: Grafiati
Опубліковано: 3 червня 2025
Оновлено: 31 липня 2025

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Статті в журналах з теми "RFID Network Planning"

1

Guo, Dong Liang, Qiao Xiang, and Zhong Hua Li. "Hybrid Intelligent Optimization Approach for RFID Network Planning." Applied Mechanics and Materials 596 (July 2014): 230–33. http://dx.doi.org/10.4028/www.scientific.net/amm.596.230.

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Анотація:
Radio Frequency Identification (RFID) is a kind of short-range radio technology for data acquisition and automatic identification. In large scale application of RFID system, RFID network planning (RNP) is one of the fundamental tasks need to be fulfilled. This paper proposed an efficient hybrid intelligent optimization approach for RNP. A RNP optimization model is designed in considering of coverage, cost, and the radiated power of readers. A hybrid intelligent optimization approach is proposed to optimize the model in a hierarchical fashion. Firstly, we used the intelligent optimization algor
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2

Ait Lhadj Lamin, S., A. Raghib, and B. Abou El Majd. "Robust multi-objective optimization for solving the RFID network planning problem." Mathematical Modeling and Computing 8, no. 4 (2021): 616–26. http://dx.doi.org/10.23939/mmc2021.04.616.

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Анотація:
Radio-frequency identification (RFID) is a new technology used for identifying and tracking objects or people by radio-frequency waves to facilitate automated traceability and data collection. The RFID system consists of an electronic tag attached to an object, readers, and a middleware. In the latest real applications based on the RFID technology, the deployment of readers has become a central issue for RFID network planning by means of optimizing several objectives such as the coverage of tags, the number of readers, and the readers/tags interferences. In practice, the system is affected by
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3

Qasim Mohammed, Shaymaa, Mohammed Najm Abdullah, and Ahmed Sabah Al-Araji. "One decade of radio frequency identification (RFID) Network Planning (RFID-NP)." Measurement: Sensors 26 (April 2023): 100696. http://dx.doi.org/10.1016/j.measen.2023.100696.

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4

Raghib, Abdelkader, and Badr Abou El Majd. "Multi-Objective Decision Aid Application for RFID Network Planning." MATEC Web of Conferences 200 (2018): 00017. http://dx.doi.org/10.1051/matecconf/201820000017.

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Анотація:
The Radio Frequency Identification system (RFID) is a generic term for technologies of a type of automatic identification system that use radio-frequency waves to automatically identify people or objects. Multiple RFID readers are required to detect and monitor the tags in the network area due to their limited interrogation range. Therefore, the cost of the RFID System, its efficiency in the communication process, and the number of tags covered directly depend on the number of deployed readers. In this work, we present a new many/multi-objective model with the aim to achieve the optimal soluti
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5

Hoa, Le Van, Nguyen Van Tung, and Vo Viet Minh Nhat. "An Approach to Hopfield Network-Based Energy-Efficient RFID Network Planning." Cybernetics and Information Technologies 24, no. 2 (2024): 50–66. http://dx.doi.org/10.2478/cait-2024-0015.

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Анотація:
Abstract Radio Frequency IDentification (RFID) Network Planning (RNP) is the problem of placing RFID readers in a working area where a tag is interrogated by at least one reader and at the same time satisfies some constraints such as minimum number of placed readers, minimal interference, and minimal outside coverage. The RNP optimization has been proven NP-hard; thus, natural-inspired approaches are often used to find the optimal solution. The paper proposes an energy-efficient RNP approach in which the positions of placed readers are optimized by a Hopfield network, and the energy efficiency
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6

Ait Lhadj Lamin, S., A. Raghib, and B. Abou El Majd. "An effective approach in robustness optimization for solving the RFID network planning problem with uncertainty." Mathematical Modeling and Computing 11, no. 1 (2024): 70–83. http://dx.doi.org/10.23939/mmc2024.01.070.

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Анотація:
RFID technology enables remote storage and retrieval of data on RFID tags, making it a versatile and efficient tool with widespread applications in various industries. This paper presents a solution to the challenge of deploying RFID readers, which has been a persistent problem in the RFID technology practical and theoretical communities. To address the deployment problem, the paper proposes a robust multi-objective approach that optimizes many requested objectives as: coverage, the number of deployed readers, and interference while taking into account uncontrollable parameters in the system.
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7

Huda, Huda, and Farah Q. Abdullah AL AL-Khalidi. "Evaluation Software and IT Integration for IoT-based Healthcare Radio Frequency Identification Network Planning." Fusion: Practice and Applications 15, no. 2 (2024): 288–97. http://dx.doi.org/10.54216/fpa.150224.

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Анотація:
For Internet of Things (IoT)-based on healthcare systems to autonomously monitor patients, radio frequency identification, or RFID, its essential. It is difficult to guarantee complete coverage throughout sizable healthcare facilities with a small number of RFID readers, though Software for RFID network planning must be optimized. The purpose of this paper is about optimizing related software and suggest a topological RFID network planning strategy that will minimize reader interference while deploying the fewest possible readers. The best location for RFID tags on patients as well as readers
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8

Chen, Hanning, Yunlong Zhu, Lianbo Ma, and Ben Niu. "Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches." Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/961412.

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Анотація:
The development of radio frequency identification (RFID) technology generates the most challenging RFID network planning (RNP) problem, which needs to be solved in order to operate the large-scale RFID network in an optimal fashion. RNP involves many objectives and constraints and has been proven to be a NP-hard multi-objective problem. The application of evolutionary algorithm (EA) and swarm intelligence (SI) for solving multiobjective RNP (MORNP) has gained significant attention in the literature, but these algorithms always transform multiple objectives into a single objective by weighted c
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9

Chen, Hanning, Yunlong Zhu, Kunyuan Hu, and Tao Ku. "RFID network planning using a multi-swarm optimizer." Journal of Network and Computer Applications 34, no. 3 (2011): 888–901. http://dx.doi.org/10.1016/j.jnca.2010.04.004.

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Heba, M. Elewe*. "ANGULAR BASED MODEL FOR RFID NETWORK PLANNING FOR WAREHOUSE MANAGEMENT SYSTEM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 4, no. 10 (2017): 132–37. https://doi.org/10.5281/zenodo.1034499.

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Анотація:
Large scale warehouses often apply the RFID Network Planning (RNP) strategy to efficiently track assets, which can lead to significant revenue gain. For this reason, this research has developed a three dimension RFID network planning model that can improve warehouse management. The mathematical model of the RFID network planning is concerned with two major issues. The first one is the correlation between the reader height and the rack levels. The second issue is to specify the optimal tag coverage based on the elliptical interrogation reader range. The DBFA algorithm is used as a method to eva
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Дисертації з теми "RFID Network Planning"

1

Tsai, Hsing Fang, and 蔡幸芳. "Improved Genetic Algorithm for RFID Reader Network Planning Problem." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/08906341784328249885.

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Анотація:
碩士<br>長庚大學<br>電機工程學系<br>101<br>In recent years, radio frequency identification (RFID) technique has been widely used in many applications. The RFID system consists of two types of devices, tags and readers. The area for a reader to identify tags is called the interrogation zone. Due to the limited interrogation range of the communication between the reader and the tag, the deployment of minimum number of readers to cover all tags in the entire region is known as the RFID reader network planning (RNP) problem. In general, the RNP problem is a type of resource allocation problems, which is a com
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2

Kang, Da Jhou, and 康大洲. "Comparisons of Three Heuristic Method for Three-Dimensional RFID Reader Network Planning Problems." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/qbmar5.

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Анотація:
碩士<br>長庚大學<br>電機工程學系<br>105<br>In recent years, radio frequency identification (RFID) technique has been widely used in various fields. Due to the limited interrogation zone, how to use the minimum reader to cover all the tags in the space to form the Reader Network Planning (RNP) problem. In this thesis, we proposed genetic algorithm (GA)、micro genetic algorithm (mGA) and particle swarm optimization (PSO) to solve the three-dimensional space reader network planning problem. Due to the traditional genetic algorithm and the traditional particle swarm optimization do not guarantee 100% tag cover
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3

林林弘. "An EPC Network based RFID Information Architecture Planning – A Case Study of Car Bumper Supply Chain." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/70500866417168970633.

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Анотація:
碩士<br>國立清華大學<br>工業工程與工程管理學系工程碩士在職專班<br>95<br>The EPCglobal organization found a RFID information architecture named ‘EPC Network’ was based on EPC (Electronic Product code). The concept of EPC Network is ‘Internet of things’, every object was given a unique identification code stored at RFID tag, using mature internet architecture to reach “Internet of Physical Objects”. With EPC Network, we can connecting every object and create the vision of “Identify any object anywhere automatically”. lthough the standards of EPC Network have not been completed by EPCglobal organization, but the function
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4

"Modeling, Analysis, and Efficient Resource Allocation in Cyber-Physical Systems and Critical Infrastructure Networks." Doctoral diss., 2016. http://hdl.handle.net/2286/R.I.40732.

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Анотація:
abstract: The critical infrastructures of the nation are a large and complex network of human, physical and cyber-physical systems. In recent times, it has become increasingly apparent that individual critical infrastructures, such as the power and communication networks, do not operate in isolation, but instead are part of a complex interdependent ecosystem where a failure involving a small set of network entities can trigger a cascading event resulting in the failure of a much larger set of entities through the failure propagation process. Recognizing the need for a deeper understanding of
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Частини книг з теми "RFID Network Planning"

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Azizi, Aydin. "RFID Network Planning." In Applications of Artificial Intelligence Techniques in Industry 4.0. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2640-0_3.

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Wang, Jun, Jinsong Chen, Qianying Liu, and Jia Liu. "HCO-Based RFID Network Planning." In Communications in Computer and Information Science. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2829-9_40.

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3

XU, He, Weiwei SHEN, Peng LI, and Cong QIAN. "An Efficient RFID Reader Network Planning Strategy Based on P2P Computing." In Advances on P2P, Parallel, Grid, Cloud and Internet Computing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49109-7_36.

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4

Gao, Xiang, and Ying Gao. "TDMA Grouping Based RFID Network Planning Using Hybrid Differential Evolution Algorithm." In Artificial Intelligence and Computational Intelligence. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16527-6_15.

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Tuba, Milan, Nebojsa Bacanin, and Marko Beko. "Multiobjective RFID Network Planning by Artificial Bee Colony Algorithm with Genetic Operators." In Advances in Swarm and Computational Intelligence. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20466-6_27.

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Raghib, Abdelkader, Badr Abou El Majd, and Brahim Aghezzaf. "An Optimal Deployment of Readers for RFID Network Planning Using NSGA-II." In Operations Research/Computer Science Interfaces Series. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58253-5_27.

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Zhang, Zhongwei, Junfei Ren, Zhengzheng Dai, Bohui Zhang, Lihui Wu, and Zhaoyun Wu. "Research on RFID Network Planning Based on Directional and Omnidirectional Antenna Readers." In Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70665-4_129.

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8

Le, Van Hoa, Thanh Chuong Dang, Hong Quoc Nguyen, and Viet Minh Nhat Vo. "An Integrated Model of Placement Optimization and Redundancy Elimination in RFID Network Planning." In The 12th Conference on Information Technology and Its Applications. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-36886-8_29.

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Gu, Qiwei, Kai Yin, Ben Niu, and Hanning Chen. "RFID Networks Planning Using BF-PSO." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31576-3_24.

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Anusha, S., and Sridhar Iyer. "RFIDcover – A Coverage Planning Tool for RFID Networks with Mobile Readers." In Embedded and Ubiquitous Computing – EUC 2005 Workshops. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596042_107.

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Тези доповідей конференцій з теми "RFID Network Planning"

1

Al-Naima, Fawzi M., and Raoof T. Hussein. "PSO Based Indoor RFID Network Planning." In 2013 International Conference on Developments in eSystems Engineering (DeSE). IEEE, 2013. http://dx.doi.org/10.1109/dese.2013.11.

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Tuba, Milan, Nebojsa Bacanin, and Marko Beko. "Fireworks algorithm for RFID network planning problem." In 2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA. IEEE, 2015. http://dx.doi.org/10.1109/radioelek.2015.7129049.

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3

Niu, Ben, Edward C. Wong, Yujuan Chai, and Li Li. "RFID Network Planning Based on MCPSO Alogorithm." In 2009 International Symposium on Information Science and Engineering (ISISE). IEEE, 2009. http://dx.doi.org/10.1109/isise.2009.37.

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Dimitriou, Antonis G., Stavroula Siachalou, Aggelos Bletsas, and John N. Sahalos. "Automated RFID network planning with site-specific stochastic modeling and particle Swarm Optimization." In 2014 IEEE International Conference on RFID-Technologies and Applications (RFID-TA). IEEE, 2014. http://dx.doi.org/10.1109/rfid-ta.2014.6934198.

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Suriya, Atipong, and J. David Porter. "Genetic algorithm based approach for RFID network planning." In TENCON 2014 - 2014 IEEE Region 10 Conference. IEEE, 2014. http://dx.doi.org/10.1109/tencon.2014.7022427.

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Bacanin, Nebojsa, Milan Tuba, and Raka Jovanovic. "Hierarchical multiobjective RFID network planning using firefly algorithm." In 2015 International Conference on Information and Communication Technology Research (ICTRC). IEEE, 2015. http://dx.doi.org/10.1109/ictrc.2015.7156477.

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Guan, Qiang, Yu Liu, Yiping Yang, and Wenshneg Yu. "Genetic Approach for Network Planning in the RFID Systems." In Sixth International Conference on Intelligent Systems Design and Applications. IEEE, 2006. http://dx.doi.org/10.1109/isda.2006.253899.

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Hasnan, Khalid, Aftab Ahmed, Badrul-aisham, and Qadir Bakhsh. "Optimization of RFID network planning using Zigbee and WSN." In PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON CONDENSED MATTER PHYSICS 2014 (ICCMP 2014). AIP Publishing LLC, 2015. http://dx.doi.org/10.1063/1.4915852.

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Tuba, Milan, Nebojsa Bacanin, and Adis Alihodzic. "Firefly algorithm for multi-objective RFID network planning problem." In 2014 22nd Telecommunications Forum Telfor (TELFOR). IEEE, 2014. http://dx.doi.org/10.1109/telfor.2014.7034365.

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hasnan, Khalid Bin, Nihad Hasan Talib, Azli Bin Nawawi, Adel Muhsin Elewe, Haslina Binti Abdullah, and Suhaidah Tahir. "An efficient algorithm for large-scale RFID Network Planning." In 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT). IEEE, 2019. http://dx.doi.org/10.1109/jeeit.2019.8717490.

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