SafeRFID-MW: a RFID Middleware with runtime fault diagnosis

Kheddam, Rafik; Aktouf, Oum-El-Kheir; Parissis, Ioannis

doi:10.24138/jcomss.v9i1.158

Cited by 6 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FMEA was applied to assess the analog part of the RFID system, presuming faultlessness in the digital segment, as indicated in [52]. Additionally, the FMEA methodology was utilized to scrutinize failure modes within the RFID middleware [53] and to investigate user misconfigurations [54]. Evaluations of RFID device performance within the blood supply chain were conducted, utilizing FMEA to identify departments necessitating reengineering [55].…”

Section: An Overview Of the Rfid Systemmentioning

confidence: 99%

Aggregation of Risk Management and Non-Parametric Models to Rank Failure Modes of Radio Frequency Identification Systems

Chnina,

Daneshvar

2024

Applied Sciences

View full text Add to dashboard Cite

The failure mode causes and effects analysis (FMCEA) is a commonly used reliability approach. It identifies, predicts, and analyzes potential failure modes affecting the proper function of equipment or the process under study, along with their roots and consequences. FMCEA aims to evaluate and assess the risks resulting from their occurrence, intending to suggest corresponding repair, adjustment, and precautionary measures to be planned during the conception, instruction, or implementation stages. However, the FMCEA has been criticized in the literature for its many inherent shortcomings related to risk assessment and prioritization. Therefore, this study presents an enhanced FMCEA method to address the deficiencies of the traditional risk priority number (RPN) and improve the reliability of risk assessments and corrective actions. A data envelopment analysis (DEA), as a non-parametric method, is used to evaluate the efficiency of these failures by considering their fixing time and cost and deciding on their final priority ranks. Sub-failure modes and their interrelationships are also taken into account. The radio frequency identification (RFID) system was chosen as an example due to its core role in Industry 4.0 and the Internet of Things (IoT) to demonstrate the effectiveness and usefulness of the proposed method. A total of 67 failures related to both hardware and software parts, including the environmental impacts of this technology, have been disclosed. The results of the conventional and the suggested FMCEA methods are found to be considerably different, with ten failure modes classified as being the most efficient.

show abstract

Section: An Overview Of the Rfid Systemmentioning

confidence: 99%

Aggregation of Risk Management and Non-Parametric Models to Rank Failure Modes of Radio Frequency Identification Systems

Chnina,

Daneshvar

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Is an RFID middleware is programmed in Java and is based on the LLRP protocol to manage RFID readers and retrieve the data (Kheddam et al, 2013). The strength of this architecture is fault tolerance through two mechanisms, namely the online diagnostic algorithm based on statistical analysis of RFID events that guarantees to detect defective elements on the physical RFID infrastructure.…”

Section: Saferfidmentioning

confidence: 99%

A new RFID Middleware architecture based on a hybrid security technique using data encryption and RBAC for modern real-time tracking applications

Haibi,

Oufaska,

El Yassini

et al. 2023

Front. Mech. Eng.

View full text Add to dashboard Cite

Radio Frequency Identification (RFID) is a contactless technology that has developed over the 90s and 20th centuries. It employs electromagnetic or electrostatic coupling in the radio frequency part of the electromagnetic spectrum to uniquely identify traceable objects, and is widely used in various sectors (e.g., medical, Supply Chain Management, transportation, and IoT applications.). Through the supply of real-world monitoring and context information about things, the integration of this technology in such areas delivers various benefits in the future of ubiquitous computing. However, one of the primary challenges will be the capacity to manage data since RFID events have specific characteristics and requires special treatment, such as the large volume of data flow, inaccuracy, temporal and spatial data, are typical examples of RFID event data. The goal of this research is to first highlight the concerns and limitations of existing middleware architectures before introducing and implementing a new Middleware architecture to address the identified issues, specifically real-time processing of massive volumes of data coming from physical RFID infrastructure. This middleware combines role-based access control with an encryption algorithm to increase security, a NoSQL database for storing large amounts of data, complex event processing (CEP) to provide high-volume data stream processing, and improved interoperability via the Data Transformation Module. Finally, our architecture is evaluated and compared to several middleware architectures based on standard ISO/IEC 9126 metrics.

show abstract

“…In the work "SafeRFID-MW: a RFID Middleware with runtime fault diagnosis" [6], the authors Rafik Kheddam, Oum-El-Kheir Akatouf, and Ioannis Parissis propose a novel fault-tolerant RFID middleware providing two fault-tolerant mechanisms. The first mechanism is an online diagnosis algorithm based on a statistical analysis of the generated RFID data to identify faulty components of the system such as faulty readers or tags.…”

mentioning

confidence: 99%

RFID Technologies & Internet of Things

Patrono

2013

JCOMSS

View full text Add to dashboard Cite

The next-generation of the Internet aims to integrate heterogeneous wireless technologies and low-cost embedded devices in order to contribute to assert the concept of Internet of Things (IoT). The main idea behind the IoT concept is to have worldwide interconnected objects, each one individually discovered and addressed as a resource in the network. In this new scenario, the Human-to-Machine paradigm (H2M) is increasingly moving toward the new Machine-to-Machine (M2M) paradigm, so leading to an improvement of several aspects in everyday life. Certainly, Wireless Sensor Network (WSN) and Radio Frequency Identification (RFID) are playing a fundamental role as IoT enabling technologies. A very intersting research topic is focused on the integration between RFID and WSN in order to spread smart environments able to capture, in a pervasive way, all useful information from the real world.This special issue on RFID Technology and Internet of Things of the JOURNAL OF COMMUNICATIONS SOFTWARE AND SYSTEMS aims to report on the recent advancement and developments in various aspects of the IoT such as RFID, NFC, tracing and tracking systems, supply chain, security in IoT, WSN, integration between RFID and WSN, and so on.Fifteen papers were submitted and ten of them have been recommended for publication based on the standard reviewing process. Papers published in this special issue of JCOMSS cover most research topics previuosly reported.

show abstract

SafeRFID-MW: a RFID Middleware with runtime fault diagnosis

Cited by 6 publications

References 17 publications

Aggregation of Risk Management and Non-Parametric Models to Rank Failure Modes of Radio Frequency Identification Systems

Aggregation of Risk Management and Non-Parametric Models to Rank Failure Modes of Radio Frequency Identification Systems

A new RFID Middleware architecture based on a hybrid security technique using data encryption and RBAC for modern real-time tracking applications

RFID Technologies & Internet of Things

Contact Info

Product

Resources

About