Mobile RFID Research Articles

The Drivers of Complexity in Inventory Management Within the Healthcare Industry

The purpose of this study is to investigate the complexities of inventory management in the healthcare industry for improving efficiency and resilience in healthcare supply chains. A Systematic Literature review using Scopus database and PRISMA approach was performed. Driven by innovation and technology, new developments are changing the face of inventory management. Predictive analytics and stock optimization are made possible by the increasing deployment of AI and machine learning. Autonomous Mobile Robots and RFID technology are being used more for quick identification and data collection, while Internet-of-Things devices are used for real-time tracking. Blockchain technology to guarantee supply chain traceability and transparency is also being investigated. Another is automation through robots, which lowers human error and increases warehouse operation efficiency. Finally, the incorporation of cloud-based systems such as SMART logistics and E-logistics platforms enables distant access to inventory information, encouraging adaptability and cooperation across various sites.

A Review on Automatic Toll Collection System

One of the most crucial elements for any country's development is logistics, or transportation. Since India is one of the world's largest nations, road transportation plays a vital role in the country's economy. For any government, having fast road transit becomes essential, and toll plazas are essential to this. The most commonly used toll systems in India at the moment are the manual toll collection and FASTag systems. Toll plaza processing times rise as a result of their need for a toll collector or attendant. The Automatic Toll Collection System, or ATCS, is a tool used to automatically collect taxes. Here, radio frequency is used to help in identification. An RFID tag will be attached to a car. This tag is nothing more than an allocated unique identification number. The RTO, or traffic controlling body, will assign this. We shall keep all of his basic data and the amount he has paid in advance for the TOLL collection in line with this number. At the toll collection facility, the reader will be positioned strategically. His prepaid balance will be reduced by the tax amount each time the car passes the toll collection center. This essay discusses several automated toll collection systems that are intended to improve overall transportation efficiency, ease toll payment procedures, and lessen traffic congestion. The suggested method computes toll fees automatically by utilizing cutting-edge technology including mobile communication, GPS, and RFID (Radio Frequency Identification).

A Near-Optimal Protocol for Continuous Tag Recognition in Mobile RFID Systems

A Near-Optimal Protocol for Continuous Tag Recognition in Mobile RFID Systems

Constraint-based high utility mobile trajectory pattern mining for security systems

In security system, high utility pattern mining of a large number of users mobile trajectories is helpful to analyze user behavior patterns, and enhance the internal prevention of the security system.Currently, the frequent pattern mining for mobile trajectory in security systems do not take into account the differences in the safety levels between staying points and the frequency of their occurrence. Existing high utility mobile trajectory pattern mining methods are unable to discover staying points that meet specific user requirements. To solve these problems, a constraint-based high utility mobile trajectory mining algorithm is proposed (names as HUIM-ILC-ACO). It takes into account the user’s stay time, stay frequency, and the safety level of each stopping point and calculates the utility value of each staying point by incorporating these factors through weighted computation. Based on this, the algorithm combines ant colony optimization with length constraints and item constraints to construct a method for mining high utility mobile trajectory patterns that better align with user interests. Experimental results on real datasets and a target mobile trajectory RFID dataset show that proposed algorithm is efficient in terms of runtime and pattern quantity, and it can effectively mine a pattern set that is closer to user interests.

A Proposed Healthcare Architecture using Cloud Computing in WSN Environment with a case study

Internet of Things (IoT) considers a future that can connect something/someone/ any service with appropriate information communication technology that it brings innovation in the fields of home, smart home, medical system, article surveillance, and logistics. Because of this inclination, this paper develops a trailblazer: Internet of Things-aware, intelligent architecture, that can be used to monitor and track patients and other related computing devices personnel, and within hospitals premises. In line with the IoT vision, we propose IoT based healthcare architecture dependent on different but complementary technologies, especially the WSN, RFID, and smart mobile, all interacting via a Constrained Application Protocol (CoAP) over low-power wireless personal area network (6LoWPAN) framework. The framework possesses the capability to gather data instantaneously in natural status and in physical conditions of patients after which it gets processed for analysis, thereby providing services to the user. The proposed model also focuses on the security aspect in the network of the healthcare system. The security model proposes IoT based medical services which comprises three security services: protection, detection and reaction services

Navigation and mapping of closed spaces with a mobile robot and RFID grid

Navigation and mapping of closed spaces with a mobile robot and RFID grid

Keyless Security

This research paper introduces a novel approach to improve security and access control in smart door lock systems. The proposed system incorporates multi-factor authentication, combining a numerical keypad, mobile app, and RFID sensor. Each authentication method is associated with a specific lock, offering differentiated access control. Notably, the system requires the simultaneous use of the mobile app and RFID sensor to unlock a designated lock, adding an extra layer of security. To assess the system's effectiveness, a comprehensive study was conducted, considering security, usability, and user satisfaction. The study involved simulated attacks, user surveys, and usability tests, with data analysis providing insights into the system's resilience and user acceptance. This research contributes to the field of smart door lock systems by offering an innovative approach to enhance security through multi-factor authentication. The findings provide valuable insights for designing advanced access control mechanisms, empowering users with increased confidence in their security measures while maintaining a user-friendly experience.

A High-Precision 3D Target Perception Algorithm Based on a Mobile RFID Reader and Double Tags

With the popularization of positioning technology, more and more industries have begun to pay attention to the application and demand of location information, and almost all industries can benefit from low-cost and high-precision location information. This paper introduces a novel three-dimensional (3D) low-cost, high-precision target perception algorithm that utilizes a Radio Frequency Identification (RFID) mobile reader and double tags. Initially, the Received Signal Strength (RSS) is employed to estimate the approximate position of the target along the length direction of the shelf. Additionally, double tags are affixed to the target, enabling the perception of its approximate height and depth through phase information measurements. Subsequently, the obtained rough position serves as an initial value for calibration using the proposed algorithm, allowing for the refinement of the target’s length information relative to the shelf. Simulation results demonstrate the exceptional accuracy of the proposed method in perceiving the 3D position information of the target, achieving centimeter-level sensing accuracy.

The usage of RFID robots in logistics process management

The aim of this post is to point out the use of RFID robots in the management of logistics processes. RFID technology is defined first. RFID technology represents identification using radio frequency waves. The principle is to store the necessary data in radio frequency memory chips and then repeatedly read or write the data using a reader. We divide RFID chips into active and passive. Active RFID chips use energy from a battery, while passive RFID chips are a technology without an internal power source. Passive RFID is the most common form of RFID in warehouses, using which inventory is taken using RFID robots or hand-held RFID readers. Nowadays, many RFID robots from different manufacturers are available on the market. When choosing, I must consider where we want to use the RFID robot and choose the one that suits us based on its specific characteristics. The RFID robot is a mobile and autonomous RFID system that performs an inventory of the given space based on our initial setup. The RFID robot locates each item in 2 dimensions (x and y). Most robots can move in all directions because they can rotate without shifting. The accuracy of the inventory using the RFID robot ranges from 95-99%, while the accuracy of the inventory performed by employees using handheld RFID readers ranges from 85-95%. As for speed, it is on average 10 times faster compared to manual RFID readers.

Space and Time Use of European Eel Restocked in Upland Continental Freshwaters, a Long-Term Telemetry Study

There is a lack of information on many biological and ecological aspects of the critically endangered European eel during its growth phase in inland waters, such as when the sedentary life stage begins, mobility according to age and response to habitat alteration. We used mobile radio frequency identification (RFID) telemetry technology to track tagged eels over 6 years after their restocking as glass eels in six typologically different rivers. We also cross-referenced telemetry data with those of several electrofishing monitoring sessions to better understand the mobility and behaviour of eels. The relative abundance (maximum 52 individuals km−1) and detection rate (maximum 28%) of eels were not significantly correlated with the time/age after restocking. Eels were present in all restocked rivers, but their abundance was low and mobility was high in a slightly acidified, oligotrophic river that had experienced a great loss of fish habitat heterogeneity. This loss of habitat heterogeneity was due to flooding events and machinery works in riverbeds to restore the altered riverbanks. Four years after glass eel release, restocked eels became sedentary and moved from shallow to deep microhabitats with riverbeds dominated by blocks as the bottom substrate. After this age, they exhibited high fidelity to the residence site. This study provides new insights concerning the biology and ecology of eels restocked as glass eels in freshwaters, which should lead to improved management plans for the species through the implementation of more effective conservation measures and strategies.

Efficient Mobile RFID Authentication Protocol for Smart Logistics Targets Tracking

Target tracking is one of the problems existing in the supply chain management. The use of radio frequency identification (RFID) in target tracking helps improve the monitoring accuracy and status visibility of the tracked target. For mobile RFID system, its three entities have to authenticate each other’s identity in order to guarantee the data transmission security. The mobile RFID authentication protocol cannot achieve both high security and low complexity at the same time. For this problem, a new efficiency mobile RFID authentication protocol is proposed in this paper, which implements secure authentication among different communication entities by different operation modes. For example, the protocol adopts Hash Function between reader and cloud server, and exchange-cross bitwise operation between tag and cloud server, to achieve low computing cost at tag-end while improving the security of mobile communication data. At the cloud server end, the protocol proposed in this paper adopts index data table as the storage mode, which further improves the could server efficiency in retrieving the authentication of tags and readers, and reduces the risks of sensitive data disclosure. According to the security analysis, this protocol can resist impersonation attack, replay attack, trace attack and other attacks launched by attackers. Its security performance is further proved by BAN logic, proverif tool and random oracle model. On the other hand, the simple operation at the tag-end of the protocol lowers the tag cost to a larger extent.

Trajectory-Robust RFID Relative Localization Based on Phase Profile Correlation

Indoor localization systems based on radio frequency identification (RFID) technologies are widely adopted in the Internet of Things (IoT). Many of these applications prefer to obtain the relative position of the target object rather than the absolute position. Existing relative positioning methods are subject to strict trajectory constraints and cannot work under nonstraight trajectories. RFID mobile localization which has high accuracy can also be used for relative positioning, but they require the acquisition of precise moving trajectory coordinates. To overcome these challenges, we propose a trajectory-robust relative localization algorithm (TRL), based on phase profiles’ correlation in this article. The intuition of TRL is that the phase of the backscattered signal has a linear mapping relationship with the distance between the reader and the antenna, so the closer the tag is to each other, the higher the correlation of their phase curves is. We use the dynamic time warping (DTW) algorithm to calculate the correlation between the phase profiles of different tags and achieve relative localization of all the tags by sequentially determining their position intervals in the tag sequence. Compared with the state-of-the-art solutions, TRL gives greater flexibility to antenna movement and the demand for trajectory coordinates, and is it fully robust to trajectory error. A series of experimental results show that TRL has significant advantages over the current state-of-the-art schemes in terms of both accuracy and computation time.

Approvisionnement d’un plateau technique interventionnel en dispositifs médicaux stériles via la technologie RFID mobile

This work presents the eight-month assessment of the mobile RFID (radio frequency identification) technology implementation for the management of sterile medical devices in an interventional cardiology department. Several indicators dedicated to stock management, organizational impact (within the pharmacy and the department) and economic impact were collected. The scope of MDS tracked by RFID was defined as well as the new supply circuit. In total, 297 (83%) references were managed by RFID. At eight months, the number of MDS units in stock has decreased by 35% and the number of overstocked references by more than 50%. The value of the inventory decreased by euro30,196 (17%) in three months from an initial amount of euro17,995. This decrease has been maintained at eight months. The average time spent by the pharmacy technician (PPH) was 66 min/d. The paramedical team gained 180 min/week. By integrating the cost of the equipment, the annual subscription and the PPH cost, the benefit is estimated at 9,555euro the first year (then 17,155euro the following years). To conclude, RFID has allowed a significant reduction of the stock and its control over time while securing the supply circuit adjusted to the activity. The limits are the absence of interface between the dedicated software and the ordering software as well as the consequent time dedicated by the PPH to this new management mode.

Capture-Aware Identification of Mobile RFID Tags With Unreliable Channels

Radio frequency identification (RFID) has been widely applied in large-scale applications such as logistics, merchandise and transportation. However, it is still a technical challenge to effectively estimate the number of tags in complex mobile environments. Most of existing tag identification protocols assume that readers and tags remain stationary throughout the whole identification process and ideal channel assumptions are typically considered between them. Hence, conventional algorithms may fail in mobile scenarios with unreliable channels. In this paper, we propose a novel RFID anti-collision algorithm for tag identification considering path loss. Based on a probabilistic identification model, we derive the collision, empty and success probabilities in a mobile RFID environment, which will be used to define the cardinality estimation method and the optimal frame length. Both simulation and experimental results of the proposed solution show noticeable performance improvement over the commercial solutions.

USAGE AND PERCEPTION OF GEOFENCING

Geofencing is a location-based service in which an app or other software uses GPS, RFID, Wi-Fi or cellular data to trigger a pre-programmed action when a mobile device or RFID tag enters or exits a virtual boundary set up around a geographical location, known as a geofence. Depending on how a geofence is configured it can prompt mobile push notifications, trigger text messages or alerts, send targeted advertisements on social media, allow tracking on vehicle fleets, disable certain technology or deliver location-based marketing data.

Continuous Use Behavior of Knowledge Payment Platform Based on Edge Computing under Mobile Information System

From 2015 to the end of 2016, the Internet set off a wave of payment for knowledge. Pay-for-knowledge platforms such as Fenda, iGet, and Qianliao went online quickly, and platforms such as Himalaya FM, Zhihu, and Qingting FM gathered to launch paid columns. The number of users increased rapidly, and payment for knowledge was considered to have reached the trend of development. This article aims to study the introduction of edge computing in the mobile information system into the existence and inevitability of the knowledge payment platform; analyze the advantages, dilemmas, and optimization paths of the knowledge payment platform; and try to provide a theoretical reference for promoting its development. This article puts forward an explanation of the related content of mobile edge computing and RFID technology overview, using comparative experiment and behavior analysis methods. The experimental results show that there are 98 people under the age of 18 in the questionnaire, accounting for 19.1% of the total, 201 people aged 18–29, accounting for 39.1% of the total, 142 people aged 30–39, accounting for 27.6% of the total, and 73 people over 40 years old, accounting for 14.2% of the total number. It can be seen from the data that the sample age is mainly concentrated in the 18–29 years old, followed by the 30–39 years old; the sample age is biased towards young people. It has well completed the continuous use behavior analysis of the knowledge payment platform based on edge computing under the mobile information system.

Mobile Robots and RFID Technology-Based Smart Care Environment for Minimizing Risks Related to Employee Turnover during Pandemics

During a pandemic, it is imperative that all staff members have up-to-date information on changing work practices in the healthcare environment. This article presents a way to implement work environment orientation amongst different groups in care facilities by utilizing mobile robots, radio frequency identification (RFID) technologies, and data synthesis. We offer a scenario based on a co-design approach, in which a mobile robot works as an orientation guide for new employees, RFID tags are applied on objects around the premises and people’s clothing. The mobile robot takes advantage of the information provided by its known location and each RFID tag read by the RFID reader integrated with the robot. We introduce the scenario here, along with the details of its practical test implementation. Further, the challenges met in the test implementation are discussed as well as the future potential of its application. In conclusion, our study indicates that repetitive training and orientation-related duties can be successfully transferred to a mobile robot. Through RFID, the mobile robot can deliver the relevant information to the right people and thus contribute to patient and personnel safety and the resource efficiency of the orientation process.

Digitalization as a trend in library development

The purpose of this article is to introduce into the scientific circulation the results of the research work started in 2019 by the Russian State Library (RSL) with the aim to identify, analyze and characterize processes of digitalization of public libraries of the Russian Federation as well as to make the forecast of their further development. In the course of the research, there was done the analysis of normative documents, publications in the professional press and on the sites of Russian and foreign journals, other net actors, accumulating and testing scientific information about digitalization of librarianship; examination of libraries’ sites as points of access to distant library services.The summarization of the significant empirical base made it possible to identify and characterize the main trends in the process of digitalization of public libraries, as well as to conduct a comparative analysis of international and domestic experience in the introduction of digital technologies into library practice.During the first two stages of this scientific project, there was defined the concept of “library digitalization”, studied the content of the process of library digitalization, identified the main avenues and analyzed forms and areas of application of new information technologies in library practice.The results of the research have indicated that digitalization affects the development of all the main areas of library activities. The introduction of digital technologies leads to significant changes in the forms and methods of library work and library communications.There have been identified several main vectors of library digitalization development: digitization of library collections and creation of digital resources; development of the remote user services via the Internet, robotization of library processes and implementation of mobile communication technologies, augmented reality and radio frequency identification. The objectives of the introduction of digital technologies into library practice have been formulated as follows: liberation of library specialists from routine library work for to perform processes that require intellectual and creative abilities. The results of this research have important theoretical and practical significance.

Identifying UHF RFIDs in Range of Readers With WiFi

Recent advances in Cross-Technology Communication (CTC) have improved efficient cooperation among heterogeneous wireless devices. To date, however, even the most effective CTC systems require these devices to operate in the same ISM band (e.g., 2.4GHz) because of the conventional wisdom that wireless transceivers with different (fundamental) frequencies cannot communicate with one another. Our work, which is called TiFi, challenges this belief by allowing a 2.4GHz WiFi receiver (e.g., a smartphone) to identify UHF RFID tags, which operate at the spectrum between 840~920 MHz. TiFi does not require changing current smartphones or tags. Instead, it leverages the underlying harmonic backscattering of tags to open a second channel and uses it to communicate with WiFi receivers. We design and implement TiFi with commodity WiFi chipsets (e.g., Broadcom BCM43xx, Murata KM6D280 40, and Qualcomm WCN3990). Our comprehensive evaluation shows that TiFi allows WiFi receivers to identify UHF RFID tags within the range of 2 m and with a median goodput of 95%, which is comparable to today's mobile RFID readers.

Model of dynamic clustering‐based energy‐efficient data filtering for mobile RFID networks

Data filtering is an essential task for improving the energy efficiency of radio-frequency identification (RFID) networks. Among various energy-efficient approaches, clustering-based data filtering is considered to be the most effective solution because data from cluster members can be filtered at cluster heads before being sent to base stations. However, this approach quickly depletes the energy of cluster heads. Furthermore, most previous studies have assumed that readers are fixed and interrogate mobile tags in a workspace. However, there are several applications in which readers are mobile and interrogate fixed tags in a specific area. This article proposes a model for dynamic clustering-based data filtering (DCDF) in mobile RFID networks, where mobile readers are re-clustered periodically and the cluster head role is rotated among the members of each cluster. Simulation results show that DCDF is effective in terms of balancing energy consumption among readers and prolonging the lifetime of the mobile RFID networks.