Radio Frequency Identification Development Research Articles

Utilization Of Rfid In Building An Order Of Administration And Distribution In Material Warehouse Installation Gatot Soebroto Hospital Indonesia

RSPAD Gatot Soebroto is a type A government hospital with the highest referral in the ranks of the TNI and serves as a health service for the general public and continues to strive to improve the quality of excellent health services for each patient. For this reason, the Gatot Soebroto Army Hospital always provides medical supplies generally stored in the material warehouse installation. The Gatot Soebroto Army Hospital's material warehouse installation consists of a general and Health material warehouse. For health services to run well, improving the quality of the material warehouse installation unit is necessary. The development of Radio Frequency Identification (RFID) technology is increasing rapidly from year to year; its benefits can be integrated into managing material warehouse installations to build orderly administration and distribution of material medical supplies needed in each installation unit at the Gatot Soebroto Army Hospital. Through the warehousing application with the RFID application, it is hoped that the process of procurement, receipt, storage, and distribution of material for medical supplies will be more easily controlled, both for evaluation of use, as well as evaluation of stock-taking of supplies which will later become the basis for material procurement for the following year. In addition, RFID also controls the material distribution designation and year of procurement. So that the distribution of material as hospital assets will be recorded accurately and the health services provided can also run well and have good quality.

A collision-aware mobile tag reading algorithm for RFID-based vehicle localization

With the development of radio frequency identification (RFID) technology, RFID systems on roads (RSR) have recently been put forward to localize not only manned vehicles but also autonomous vehicles. In such an RFID-based localization infrastructure, passive RFID tags with road-related information are deployed on road surfaces, and any vehicle equipped with an RFID reader can interrogate the tags to obtain its locations. However, like traditional RFID systems, reader collisions could occur when many vehicles (readers) continuously move in and out of a tag’s reading range, significantly degrading tag reading performance. Although many anti-collision algorithms have been devised to improve tag reading efficiency, none can be applied in highly mobile and dynamic road environments. In this paper, we propose an adaptive mobile tag reading algorithm, which can effectively reduce reader collisions and improve tag reading efficiency for reliable vehicle localization under various traffic scenarios. Extensive simulation and experiment have verified the feasibility and the effectiveness of our proposed scheme. Particularly, the field tests demonstrate that, with moderate vehicle density and sparsely deployed tags, our proposed algorithm can satisfy the tag reading requirements specified by the upper-layer localization system with a probability as high as 0.976.

Development of radio-frequency identification (RFID) sensors suitable for smart-monitoring applications in sewer systems

Sanitary and stormwater sewers are buried assets that play important roles in the prevention of diseases and the reduction of health risks for our societies. Due to their hidden nature, these assets are not frequently assessed and maintained to optimal conditions. The lack of maintenance can cause sewer blockages and overflows that result in the release of pathogens into the environment. For cities, monitoring sewer conditions on a large-scale can be costly, time-consuming, and labor-intensive if using current low-throughput technologies, such as dye testing or closed-circuit television. Alternatively, smart sensor systems can provide low-cost, high-throughput, and automatic data-driven features for real-time monitoring applications. In this study, we developed ultrahigh-frequency radio-frequency identification (UHF RFID)-based sensors that are flushable and suitable for sanitary and stormwater pipes quick surveys. 3D printed RFID sensors were designed to float at the water-air interface and minimize the water interference to RF signal communications. The optimal detection range was also determined to support the design and installation of the reader in various utility holes. Field trials demonstrated that the UHF RFID system is a low-cost, high-throughput, and robust solution for monitoring blockage, illicit-connection, and water flow in sewer networks.

Development of Radio Frequency Identification (RFID) in the Campus Parking System based on Microcontroller

In a conventional parking system that is currently still widely used, vehicle owners must show the parking card or the receipt for the parking hours, so that the fee will be paid. In this experimental study, a parking system was developed by utilizing Radio Frequency Identification (RFID) technology based on a microcontroller control system. The use of this technology makes it possible to make a subscription parking system that is served automatically and flexibly by a parking lot. RFID has data information that can be used as a user’s identity to enter the parking area. In this research, parking system design and implementation were made by simulating a miniature portal door system to enter and exit vehicles on campus using RFID cards/tags as subscription IDs. AT89C51 microcontroller is used as a system controller. By using this RFID technology, the parking subscription system becomes more flexible and faster.

The Application of RFID Technology in the Work Mode of Library Acquisition and Cataloging

<p>In the 21st century, with the continuous development of Radio Frequency Identification (RFID), more and more libraries have begun to apply this technology. Due to the many restrictions of the traditional editing model, RFID technology, with its characteristics, has improved work efficiency and service quality of library acquisition and cataloging work. Therefore, the application of RFID technology in library work has great prospects. The application of RFID technology to the intelligent process of libraries has been promoted.</p><p> </p>

On Fast and Reliable Missing Event Detection Protocol for Multitagged RFID Systems

With the rapid development of radio-frequency identification (RFID) technology, the ever-increasing research effort has been dedicated to devising various RFID-enabled services. The missing event detection, the functionality of detecting missing objects, is one of the most important services in many Internet-of-Things applications such as inventory management. Prior detection protocols only work in single-tagged RFID systems and would waste much time on repeated checks on one object in the emerging multitagged systems where each object is attached by multiple tags, leaving efficient detection in the new scenario unaddressed. To bridge the gap, this article is devoted to detecting missing multitagged objects. The key technicality is to build a filter from a subset of tags instead of whole in prior works to avoid repeated detections of one object and reduce detection time. Specifically, we first provide a basic solution based on the Bloom filter which can specify only tags in the chosen subset to participate in the final detection. To further improve time efficiency, we propose an advanced protocol that exploits tag ID knowledge and sparsity of slots mapped by only tags in the chosen subset to build a more compact compressive filter. Moreover, a composite vector is used to efficiently coordinate tags to report its presence. We conduct theoretical analysis on optimum protocol parameters and extensive simulations to verify the feasibility of the protocols. The results show that the advanced protocol achieves more than $2\times $ performance gain in terms of time efficiency over the Bloom filter-based basic protocol.

A Secure and Efficient Parallel-Dependency RFID Grouping-Proof Protocol

In this time of ubiquitous computing and the evolution of the Internet of Things (IoT), the deployment and development of Radio Frequency Identification (RFID) is becoming more extensive. Proving the simultaneous presence of a group of RFID tagged objects is a practical need in many application areas within the IoT domain. Security, privacy, and efficiency are central issues when designing such a grouping-proof protocol. Our serial-dependent and Sundaresan et al. ’s grouping-proof protocols motivate this work. In this paper, we propose a light, improved offline protocol: parallel-dependency grouping-proof protocol (PDGPP). The protocol focuses on security, privacy, and efficiency. PDGPP tackles the challenges of including robust privacy mechanisms and accommodates missing tags. It is scalable and complies with EPC C1G2.

Missing Tag Identification in COTS RFID Systems: Bridging the Gap between Theory and Practice

With rapid development of radio frequency identification (RFID) technology, ever-increasing research effort has been dedicated to devising various RFID-enabled services. The missing tag identification, which is to identify all missing tags, is one of the most important services in many Internet-of-Things applications such as inventory management. Prior work on missing tag detection all rely on hash functions implemented at individual tags. However, in reality hash functions are not supported by commercial off-the-shelf (COTS) RFID tags. To bridge this gap between theory and practice, this paper is devoted to detecting missing tags with COTS Gen2 devices. We first introduce a point-to-multipoint protocol, named P2M that works in an analog frame slotted Aloha paradigm to interrogate tags and collect their electronic product codes (EPCs). A missing tag will be found if its EPC is not present in the collected ones. To reduce time cost of P2M resulted from tag response collisions, we further present a collision-free point-to-point protocol, named P2P that selectively specifies a tag to reply with its EPC in each slot. If the EPC is not received, this tag is regarded to be missing. We develop two bitmask selection methods to enable the selective query while reducing communication overhead. We implement P2M and P2P with COTS RFID devices and evaluate their performance under diverse settings.

IoT Standards and Applicability to Human Life

A member of the Radio Frequency Identification Development (RFID) Association originated the idea of IoT in 1999. Currently it become more applicable to the practical universe due to the growth of mobile appliances, installed and global information, cloud computing and analysis of data. At present IoT acquired a large observation from researchers because it beseems a significant machinery which assurance smart human life by recognizing communication theory between articles, gadgets and every belonging of human beings. Presume wherever millions of objects can feel, convey and share knowledge, all inter-related through either public or private Internet Protocol networks. These inter-connected objects have constantly composed the data, evaluate and used to commence act, supplying abundance of knowledge for designing, control and judgement making. This is exactly the world of IoT (Internet of Things). IoT describes a manner that comprise things of the actual world and detectors connected to these things, attached to the internet by guided and unguided network design. The IoT detectors can employ various types of attachments such as RFID, Wireless-Fidelity, Bluetooth and ZigBee. Additionally IoT approves broad domain connectivity by adopting many automations e.g. Global System Mobile communication, General Packet Radio Services, 4G and Long Term Evolution. IoT empowered objects will share knowledge of the provision of things, the nearby atmosphere with people, operating systems and other appliances of IoT related with technology. Since the Internet of Things will produce a medium of smart city, healthcare, connected houses and architecture in extension to several significant applicabilities such as smart power, networks, conveyance, garbage control so that the universe will become smart in every aspects.

A lightweight mutual authentication approach for RFID tags in IoT devices

In this paper, we present an approach for mutual authentication between server and RFID tags using hash and bitwise computations. The use of RFID technology is changing frequently these days, and their use is widespread. Due to the persistent development of radio frequency identification (RFID), substantial amount of attention has been drawn towards the security issues in RFID from researchers and industries. Mutual authentication between server and the RFID tags is one of the most popular mechanisms to protect these systems from attacks, providing confidentiality, integrity and authentication. But security and privacy issues are also increasing with time as it low cost and have limited resources we need to minimise the computations and storage cost of a protocol too. Our protocol is simple and also ensures the security against various attacks. The security and performance analysis also verifies the strength of our protocol.

Untraceability Analysis of Two RFID Authentication Protocols

With the development of Radio frequency identification (RFID) technologies, theoretical study on the protocol's design promotes the increasing reality applications of this product. The protocol designers attach significance to untraceability analysis on key-update RFID authentication protocols. This paper analyzes two RFID authentication protocols in terms of forward untraceability and backward untraceability, which are two necessary conditions for key-update RFID protocols and ownership transfer protocols. This paper introduces impersonation attacks as well as desynchronization attacks to two protocols. This paper presents two enhanced protocols, which can achieve forward untraceability and backward untraceability privacy. This paper shows the outstanding efficiency and security properties of two improved schemes through detailed analysis and comparisons.

The application of the radio frequency identification technology at libraries: The Russian experience

This paper presents the main stages of the emergence and development of the radio-frequency identification technology (RFID) at Russian libraries and analyzes the current state of library RFID systems, as well as considering the basic tendencies of the development of radio-frequency identification in the integration with the modern library technologies.

THE DEVELOPMENT OF MATERIAL FLOW ARCHITECTURE USING RFID TECHNOLOGY IN REAL INDUSTRIAL ENVIRONMENT

The development of Radio Frequency Identification (RFID) technology is widely used to monitor pallets, cases or individual items in industrial manufacturing fields. However, this method was implemented only at the warehouse where it captured raw materials that need to undergo with manufacturing process until it becomes products but it was not monitor during the process in production line. Our proposed is to build the RFID system that can capture real-time data and monitoring during the entire production work flow where the transmission, tracing, storage and retrieval of overall process can be done. This technology is associate with unique electronic identity that are embedded to raw materials throughout the manufacturing cycle where it was registered to the RFID reader at every workstation so that the information for the start and end at each job can be transmitted to the main server at real-time for storage, categorizing, tracing, processing and analyzing. By these technology systems, we can promptly update of production-line information with real-time visibility of the whole work in progress production management among offices and sites in a construction supply chain environment.

The Application of RFID Monitoring Technology to Patrol Management System in Petrochemical Industry

A lot of manufacturers tend to enhance the management efficacy and reduce the management costs by investing large resources in the research and development of radio frequency identification (RFID). For petrochemical industry, an effective, reliable, and secure patrol management system is primary. Nevertheless, traditional patrol management focuses on labor patrol that the field staff master in the corrosion, leakage, and pipe aging of production equipment. Although equipment inspection and patrol items are scheduled every day, some problems still need to be overcome. After completing traditional patrol tasks, extra time and manpower are required for organizing the patrol records and filling them into electronic document. In the process, it is likely to key in wrong data because of the numerous patrol items. Apparently, without systematic management, supervisors and shift leaders can hardly find out data errors and analyze the abundant data for complete risk evaluation and process security improvement. An RFID-based patrol management system suitable for petrochemical industry is proposed in this study. The system corresponds to the field environment requirements and regulations for petrochemical plants, integrates operation procedure and information procedure, and evaluates and includes various dimensions and variables through interviews and technological analyses to enhance the process security. Active processing equipment monitoring could enhance the preventive maintenance efficiency and promote the production capacity and industrial competitiveness.

An Improved Algorithm for Multi-Tag Anti-Collision in RFID System

With the development of Radio Frequency Identification (RFID) technology, it also exposed some problems in practical applications. Especially in multi-tag anti-collision problem, how to quickly identify multiple tags in the scope of the reader has become the key to solve the problem. On the basis of the Binary Search Algorithm (BSA) and Dynamic Binary Search Algorithm (DBSA), the paper proposed an Improved Dynamic Binary Search Algorithm. The simulation result proves that the improved method in multi-tag anti-collision is more efficiency than the previous two, which is a good solution to the shortcomings of the first two algorithms.

Adaptive Fitting Reference Frame for 2-D Indoor Localization Based on RFID

Indoor localization information is important to many different industries. Ever-rising demand from both custom and supplier pose great challenge for indoor localization technology. The emergence of rapid development of Radio Frequency Identification (RFID) technology enriches indoor positioning methodology. Traditional indoor localization algorithm mainly based on the signal propagation property. Among all of positioning algorithm, LANDMARC is most promising one but still has some limitation such as multipath effect, noise form environment and quantity constrain of tags. This paper identifies previous RFID-based indoor localization algorithm and proposes a new algorithm aiming at delivering above limitation to estimate objective position indoor environment. It use RSS propagation curve to obtain RSS value of virtual reference tag, and then estimate target tags position. To evaluate its performance, a comparison between LANDMARC and proposed algorithm was conducted. Experiment result show proposed algorithm is more accurate than LANDMARC.

Multiobjective RFID Network Optimization Using Multiobjective Evolutionary and Swarm Intelligence Approaches

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 coefficient approach. In this paper, we use multiobjective EA and SI algorithms to find all the Pareto optimal solutions and to achieve the optimal planning solutions by simultaneously optimizing four conflicting objectives in MORNP, instead of transforming multiobjective functions into a single objective function. The experiment presents an exhaustive comparison of three successful multiobjective EA and SI, namely, the recently developed multiobjective artificial bee colony algorithm (MOABC), the nondominated sorting genetic algorithm II (NSGA-II), and the multiobjective particle swarm optimization (MOPSO), on MORNP instances of different nature, namely, the two-objective and three-objective MORNP. Simulation results show that MOABC proves to be more superior for planning RFID networks than NSGA-II and MOPSO in terms of optimization accuracy and computation robustness.

Assigned Tree Slotted Aloha RFID Tag Anti-Collision Protocols

With the development of radio frequency identification (RFID) technology, RFID systems have been used in various applications. But the tag collision problem greatly affects the performance of many RFID systems, especially in large scale tag identification environments. In this paper, we propose two new efficient tag anti-collision protocols, i.e., the assigned tree slotted Aloha (ATSA) protocol and the improved ATSA (ImATSA) protocol based upon Manchester encoding. The key technology is to apply the prefix matching idea to the dynamic frame slotted Aloha identification model by assigning a unique ID prefix to each frame and slot. Both theoretical and simulation results indicate that ImATSA can achieve an average system efficiency of around 58%.

A Construction Supply Chain Management Process with RFID/WSN-based Logistics Equipment

Construction supply chain management (CSCM) has become one of the critical factors that determine the success of a construction project as it becomes increasingly complicated and mega-sized. Particularly for high-rise or mega-sized building construction, just-in-time supply chain management is required due to lack of storage space and effective logistics for construction components and materials at a construction site. Despite the fact that research and development of radio frequency identification (RFID) and wireless sensor network (WSN) technology have been performed, construction project managers still need to carry mobile devices and check material and component flow at each stage of the supply chain process. This research proposes that the equipment used in the construction supply chain process, such as movers, trailers, gates, and hoists, can become main actors in the supply chain process using RFID and WSN technologies. And the proposed equipment and process focused on a solution to the redundancy identification problem, which has been observed in operations that use RFID/WSN-based processes for construction logistics. This paper also presents issues identified through verification and validation of the research results and proposes further studies.

Optimizing RFID Network Planning by Using a Particle Swarm Optimization Algorithm With Redundant Reader Elimination

The rapid development of radio frequency identification (RFID) technology creates the challenge of optimal deployment of an RFID network. The RFID network planning (RNP) problem involves many constraints and objectives and has been proven to be NP-hard. The use of evolutionary computation (EC) and swarm intelligence (SI) for solving RNP has gained significant attention in the literature, but the algorithms proposed have seen difficulties in adjusting the number of readers deployed in the network. However, the number of deployed readers has an enormous impact on the network complexity and cost. In this paper, we develop a novel particle swarm optimization (PSO) algorithm with a tentative reader elimination (TRE) operator to deal with RNP. The TRE operator tentatively deletes readers during the search process of PSO and is able to recover the deleted readers after a few generations if the deletion lowers tag coverage. By using TRE, the proposed algorithm is capable of adaptively adjusting the number of readers used in order to improve the overall performance of RFID network. Moreover, a mutation operator is embedded into the algorithm to improve the success rate of TRE. In the experiment, six RNP benchmarks and a real-world RFID working scenario are tested and four algorithms are implemented and compared. Experimental results show that the proposed algorithm is capable of achieving higher coverage and using fewer readers than the other algorithms.