RFID Network Research Articles

An Artificial Neural Network-Based RFID Network Planning Method for Asset Monitoring in Healthcare

An Artificial Neural Network-Based RFID Network Planning Method for Asset Monitoring in Healthcare

An Optimal Model for Allocation Readers with Grid Cell Size and Arbitrary Workspace Shapes in RFID Network Planning

RFID Network Planning (RNP) is the problem of deploying RFID readers within a workspace so that each tag can be covered by at least one reader. The objective of RNP is to determine the optimal positions of readers while satisfying certain constraints, such as maximum coverage, minimal interference, load balance among readers, etc. However, most previous studies considered the workspace rectangular or square and assumed a fixed number of readers. They then employed some heuristic methods to find the optimal reader positions. This approach is not practical because the workspace can have any shape, and an approach adaptable to the actual shape of the workspace is needed. This paper proposed an improved adaptive model considering the workspace shape, called RNP-3P. The objectives of RNP-3P are to minimize the number of readers, maximize coverage area, minimize interference, and achieve load balance. RNP-3P optimizes the problem in three phases: Phase 1 involves modeling the workspace with grid cell size, Phase 2 determines the objective function, and Phase 3 proposes the iGAPO algorithm to optimize the number and positions of readers within the workspace. Simulation results demonstrate that the proposed model is more effective compared to other heuristic methods.

Evaluation Software and IT Integration for IoT-based Healthcare Radio Frequency Identification Network Planning

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 depends on the layout of the institution and how the patients move. To dependably scan tags across a variety of locations, RFID network design software precisely calculates the number and positions of readers using algorithms. Software features and network planning goals are developed to efficiently track patient status by automating the gathering of medical data. in this paper to find the optimal number of RFID readers required and their location in the system. After the algorithm was tested, it was found that the algorithm can determine the true effectiveness of the coverage and reduce the area of interference between the areas of coverage of RFID readers. PSO is a superior algorithm for solving difficult problems (NP). The PSO algorithm has shown a high efficiency in finding the optimal solution, with some of weakness in the performance of the algorithm, represented in finding functional boundaries that serve the research problem. By providing constant access to health information, this plan raises the standard of care.

RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review

RFID Network Planning of Smart Factory Based on Swarm Intelligent Optimization Algorithm: A Review

An effective approach in robustness optimization for solving the RFID network planning problem with uncertainty

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. The simulation results demonstrate the robustness of the approach in solving the deployment problem and optimizing the RFID system under varying and unpredictable conditions. The proposed approach has the potential to contribute to the RFID technology industry and enable more efficient and effective RFID systems across different sectors.

Optimizing Large-Scale RFID Networks With Energy-Efficient Dynamic Cluster Head Selection: A Performance Improvement Approach

Optimizing Large-Scale RFID Networks With Energy-Efficient Dynamic Cluster Head Selection: A Performance Improvement Approach

Retracted: Renovated XTEA Encoder Architecture-Based Lightweight Mutual Authentication Protocol for RFID and Green Wireless Sensor Network Applications

Retracted: Renovated XTEA Encoder Architecture-Based Lightweight Mutual Authentication Protocol for RFID and Green Wireless Sensor Network Applications

Improved multi-objective brain storm optimization algorithm for RFID network planning

Improved multi-objective brain storm optimization algorithm for RFID network planning

Multipath Interference Analysis for Low-Power RFID-Sensor Under Metal Medium Environment

Mechanism analysis of the RFID-Sensor communication interference can effectively improve the information collection quality of the perception layer. In our study, multipath Interference analysis of low-power RFID-Sensor under metal medium environment was considered. Firstly, the dual-antenna RFID-Sensor architecture was developed based on low power strategy, the multipath loss model and interference theory under metal medium environment was discussed. Secondly, by full consideration of electromagnetic interference energy loss factors, the time-frequency domain characteristics of electromagnetic signals, such as direct radiation, refraction, diffraction, scattering, absorption and polarization, were analyzed. Thirdly, the normalized electric field strength between the low-power RFID-Sensor with different distance was obtained through simulation/experiment scenario. The distance between the low-power RFID-Sensor and transmitting antennas is represented by <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</i> , when <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</i> is from 1 m to 5 m, the minimum working distance between the RFID-Sensor antenna and the metal medium surface changed from 6.9 mm to 7.0 mm at the frequency of 915 MHz. This paper was conducive for expanding the functions of the perception layer system of the IoT and enhancing the application potential of existing RFID and sensor networks.

RFID network planning optimization using a genetic-simulated annealing combined algorithm

RFID network planning optimization using a genetic-simulated annealing combined algorithm

Wear‐free indoor fall detection based on RFID and deep residual networks

SummarySince falls of the elderly can easily cause serious health problems in daily life, fall detection has received the attention of researchers. Traditionally, wearable sensors have been used to detect whether a person has fallen. However, wearable sensors may bring inconvenience to users' activities and affect user experience. In this paper, a fall detection approach based on RFID is proposed. In the proposed approach, non‐contact passive tags are used to construct an array of tags. Fall detection will be performed without the user wearing the device. The RSSI and phase data are collected when the reader queries the tags. Furthermore, an action segmentation algorithm is designed to quickly extract human action information based on the short‐term variance change of the phase signal. Subsequently, a deep residual network is built to classify fall movements and daily movements. Experiments show that the system can handle differences among users and locations and has an excellent performance in terms of recognition accuracy and efficiency, with an average accuracy rate of 96.77%.

One decade of radio frequency identification (RFID) Network Planning (RFID-NP)

The rapid expansion of industrial technology necessitates the widespread use of radio frequency identification networks (RFID). Multiple (RFID) components must be installed in order to do this (readers, tags, computer systems, and so on). Networks are growing more expensive and sophisticated as a result of the requirement to add more readers. To supply strong service for (RFID) systems, figuring out the optimal quantity, position, and reader settings is a considerable task. Good planning ensures that (RFID) networks have (the coverage, load balancing, and reader overlapping they need). This problem is well-studied in literary works as a radio frequency identification network planning problem. In this paper, a number of algorithms that were used to improve the RFID Network Planning (RNP) model.

Development Strategy of Intelligent Digital Library without Human Service in the Era of "Internet +".

Internet technology has a great impact on the application and development of libraries. In order to provide users with more convenient and efficient services, this paper puts forward the development strategy of unmanned intelligent digital libraries in the era of “Internet +.” Design by IntelliSense module, network transmission module, data storage and analysis module, and intelligent service module of no wisdom digital library service mode, IntelliSense module using RFID technology, close range wireless communication technology, and other Internet technologies to collect the wisdom of unmanned services of all kinds of information in the digital library; use network transmission module of the wireless LAN network, Internet technology such as RFID network to transmit information collected to store in a data storage and analysis module; and at the same time using k-means clustering algorithm in data mining techniques such as analysis of collected data, based on the analysis results provide users with intelligence services such as search, wisdom is recommended. The experimental results show that the developed strategy meets the expected functional requirements, can accurately perceive the location of data, and effectively realize the intelligent service function.

Study of Wireless Sensor Networks Topological Protocol and Its Applications

In this paper we studied about the wireless sensor networks and topology protocols and applications of wireless sensor networks (WSN). Many applications of RFID and Wireless Sensors Networks (WSN) in diverse areas including intelligent transport vehicles, defense, environmental monitoring and forecasting such as air pollution monitoring, structural health monitoring, intelligent home, and warehouse management were offered [1-4]. The integration infrastructure of WSN and RFID system with a network was dedicated. Furthermore, the architecture framework of Electronic Production Code (EPC) global sensor network was proposed aiming to establish the infrastructure of global network which is able to aggregate various data [6]. However, RFID and WSN integration was developed by [7]. This research strives to elaborate accurate traceability of different objects by means of RFID which are not conveniently identifiable by applying ordinary sensors. Notwithstanding the fact that the condition of items cannot be monitored by RFID, the environmental condition as well as condition of items can be achieved by sensor nodes. To address this issue, both RFID system and WSN are applied together to overcome some difficulties in industrial environment.

A New Model of Intelligent Nursing Based on 5G Network Architecture and RFID Technology

RFID technology is an emerging automatic identification technology in recent years. Based on the research on RFID indoor positioning system, this paper proposes a clustering SPA relative positioning algorithm based on nearest neighbours in the 5G network architecture system. After analysing the algorithm process, simulation experiments are carried out. The experimental results show that the algorithm can effectively improve the positioning accuracy of the system. Based on the research on the application of RFID in hospital medical care management, the medical care mobile management system is designed, mainly including the database system of the system, the handheld data acquisition and wireless transmission system based on the 5G network platform, and the management running on the desktop PC. The system has been designed in detail, with a view to RFID technology can be applied to medical care management.

Multi-Objective Mayfly Optimization Algorithm Based on Dimensional Swap Variation for RFID Network Planning

In this study, a multi-objective mayfly optimization algorithm based on dimensional swap variation (DSV-MOMA) is proposed to solve Multi-objective RFID network planning problem (MORNP). The contributions of this work are as following: firstly, improving multi-objective mayfly optimization algorithm (MOMA)’s ability to solve high-dimensional nonlinear optimization problems; secondly, DSV-MOMA is used to solve the MORNP problem, and optimize two and three of the four objective functions simultaneously; lastly, the fuzzy decision mechanism is used to select an optimal solution objectively from pareto optimal solutions. The proposed DSV-MOMA algorithm contributes to having better diversity and convergence when solving high dimensional nonlinear and discontinuous test functions in comparison to other popular metaheuristic algorithms. DSV-MOMA also performs well when dealing with MORNP problems. In most experiments, DSV-MOMA can reduce interference effectively, and obtain satisfactory load balance and power while ensuring a higher coverage.

Computation–Communication Tradeoffs for Missing Multitagged Item Detection in RFID Networks

Computation–Communication Tradeoffs for Missing Multitagged Item Detection in RFID Networks

Jamming Attacks and Anti-Jamming Strategies in Wireless Networks: A Comprehensive Survey

Wireless networks are a key component of the telecommunications infrastructure in our society, and wireless services become increasingly important as the applications of wireless devices have penetrated every aspect of our lives. Although wireless technologies have significantly advanced in the past decades, most wireless networks are still vulnerable to radio jamming attacks due to the openness nature of wireless channels, and the progress in the design of jamming-resistant wireless networking systems remains limited. This stagnation can be attributed to the lack of practical physical-layer wireless technologies that can efficiently decode data packets in the presence of jamming attacks. This article surveys existing jamming attacks and anti-jamming strategies in wireless local area networks (WLANs), cellular networks, cognitive radio networks (CRNs), ZigBee networks, Bluetooth networks, vehicular networks, LoRa networks, RFID networks, GPS system, millimeter-wave (mmWave) and learning-assisted wireless systems, with the objective of offering a comprehensive knowledge landscape of existing jamming and anti-jamming strategies and therefore stimulating more research efforts to secure wireless networks against jamming attacks. Different from prior survey papers, this article conducts a comprehensive, in-depth review on jamming and anti-jamming strategies, casting insights on the design of jamming-resilient wireless networking systems. An outlook on promising anti-jamming techniques is offered at the end of this article to delineate important research directions.

RFID systems optimisation through the use of a new RFID network planning algorithm to support the design of receiving gates

RFID systems optimisation through the use of a new RFID network planning algorithm to support the design of receiving gates

A low‐profile planar monopole antenna for ISM/IMT/Bluetooth/Zigbee/WiFi/WiMAX/WLAN wireless communication applications

SummaryRecently, there is a significant rise in the numbers of devices and systems that use industrial, scientific, and medical (ISM) frequency bands. The ISM band is not only used in ISM applications but also in telecommunication services including IMT, Zigbee, Bluetooth, WiFi, WiMAX, WLAN, RFID, military radars, and wireless sensor networks. To cover all these applications, in this paper, a low‐profile planar monopole antenna is suggested for 2.45‐GHz band communication applications. The anticipated antenna is composed of a vertical bar‐shaped radiator and a partial ground plane with two vertical slits. The inclusion of vertical slits in the ground plane forms a matching circuit by enlarging the current path, and hence, the studied design can achieve a measured operating band of 2.2 to 2.95 GHz. Moreover, the studied antenna achieved a maximum peak gain of 2.77 dBi and a maximum radiation efficiency of 82.45% and exhibited an omnidirectional radiation pattern that makes it appropriate for ISM and different narrowband wireless applications.