Machine Learning and Wireless Sensor Network based Library Automation System

As increasing research effort has been made, pervasive computing is on the step closer to realization. Recent technologies have allowed smaller-scale computational devices with characteristics such as low-cost production, low energy consumption and wireless communication to capture and manage information. The technologies of Wireless Sensor Networks (WSN) and Radio Frequency Identification (RFID) are gaining high attention for their promising applications in the field of pervasive computing. Integrating RFID and WSN has been researched extensively in recent years, and deployed in variety of applications. In this paper, WSN architecture, sensor node hardware and RFID system are discussed firstly. According to RFID and WSN architectures and taking into account the specific circumstances of pervasive computing, the integrations of RFID and WSN are classified into three main categories. Each category of integration is described in details through some prototypes.

A framework for enhancing the performance of Internet of Things applications based on RFID and WSNs

In the past several years, there has been an increasing trend in the use of Radio Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) as well as in the integration of both systems due to their complementary nature, flexible combination, and the demand for ubiquitous computing. As always, adequate security remains one of the open are

Internet of things (IoT) is considered as the next evolution of the Internet. IoT is considered as a global network of things, having a distinct identity, and these are interconnected via a wide range of the network to exchange data and present it into vital information. IoT is an emerging technology that shaping the development of the ICT sector at large. The Internet of Things can also be considered as a uniquely recognizable smart object and their virtual representation in an Internet-like structure. To interchange data, IoT resources using the internet makes use of multiple interconnected technologies like Wireless Sensor Network (WSN) and Radio Frequency Identification (RFID). Also, integration of IoT with cloud provides improved services to end-user. For beneficence to the growing body of research on IoT, authors have presented the four-layered architecture of IoT, services offered by IoT, current IoT applications as well as issues and challenges of IoT technology in detail in this paper.

Radio frequency identification (RFID) and wireless sensor networks (WSNs) have been popular in the industrial field, and both have undergone dramatic development. RFID and WSNs are well known for their abilities in identity identification and data transmission, respectively, and hence widely used in applications for environmental and health monitoring. Though the integration of a sensor and an RFID tag was proposed to gather both RFID tag and sensed information, few previous research efforts explore the integration of data transmission modes in the RFID and WSN systems to enhance the performance of the applications. In this paper, we propose a hybrid RFID and WSN system (HRW) that synergistically integrates the traditional RFID system and WSN system for efficient data collection. HRW has hybrid smart nodes that combine the function of RFID tags, the reduced function of RFID readers, and wireless sensors. Therefore, nodes can read each other's sensed data in tags, and all data can be quickly transmitted to an RFID reader through the node that first reaches it. The RFID readers transmit the collected data to the back-end servers for data processing and management. We also propose methods to improve data transmission efficiency and to protect data privacy and avoid malicious data selective forwarding in data transmission. Comprehensive simulation and trace-driven experimental results show the high performance of HRW in terms of the cost of deployment, transmission delay and capability, and tag capacity requirement.

Inteli-Straw (I-S) devices equipped with radiofrequency identification (RFID) technology were developed for gamete and embryo packaging, storage, and information retrieval to benefit the assisted reproduction industry. The aim of this study was to develop and test software for use with I-S technology. Two types of I-S were used, those with 125 and 134 kHz RFID chips, in conjunction with corresponding wireless RFID readers. Two different RFID chip designs were tested: (1) Mini: 0.25-mL straw, RFID tag dimensions = 1.25 × 7 mm and 1.4 × 8 mm; Standard: 0.5-mL straw, RFID tag dimensions = 2 × 12 mm; and (2) µ-chip (Hitachi Ltd., Tokyo, Japan) of 0.4 mm square and 0.06 mm thick. Inteli-Straw RFID chips can be written or have codes that can be associated with information in a database. The present RFID chips were used with the idChamp DX1 Veterinary & Livestock RFID Reader that uses Bluetooth to connect to an iOS platform for cloud computing. The iScanBrowser (Serialio, TX, USA) LED, an app for an iOS platform for use with a wireless RFID reader, was utilised, as well as a proprietary gamete and embryo database software. The present system allows for quickly accessing the RFID codes from the various I-S gamete and embryo packaging (before or after I-S filling) and entering the data into a computer or cloud-based database that can track their status, movement, metadata, and so on. The ability to acquire I-S information with wireless entry into the cloud-based database was achieved. When the RFID wireless reader detects an I-S, the RFID code is displayed almost immediately (~1 s) in a cell in the software system. The I-S (n = 194) were scanned for automatic database entry. For the wireless-enabled proof of concept, 17 scans of I-S [i.e. RFID chip design 1 (n = 15) and design 2 (n = 2)] were made with wireless scanner detection (< 2.5 cm from RFID reader to I-S) and online database entry with a 100% success rate. By using this I-S method, the present invention provides a wireless, cloud-based system for local or remote access, potentially benefiting both laboratory and field logistics. For AI and embryo transfer, the user can scan an I-S and the information is automatically detected; wireless cloud computing and RFID data crosschecking can occur; and the information can be uploaded to a database for later retrieval or analysis. Further, one can use an iphone or ipad to enter other information such as cow number into the cloud-based database during AI or embryo transfer. The present system can allow for near real-time viewing of the data, locally and remotely, or cross-checking of materials and associated information to reduce errors and improve assisted reproductive technology efficiency.

In this article a new class of receiver subsystems is introduced to enhance the performance of detection of signals in wireless sensor networks. The receiver design is applicable for detection of signals from any active or passive sensor, and ideal specifically for passive Radio Frequency Identification (RFID) tags. The system proposed herein employs iterative algorithms based on so called “Turbo Principle”. In this article, this theory is applied to sensory class of signals and waveforms. Iterative processing techniques with soft-input-soft-output (SISO) components is a novel approach to combine channel decoding with time varying symbol duration and phase tracking. This is achieved with exchange of probabilities or “soft information”. In presence of additive white Gaussian noise (AWGN) the performance of the receiver converge to the ideal coherent receiver. This class of digital packet radios is an essential ingredient to provide wide-area RFID reader systems, and gateways and access points for collecting data from new generation of emerging Internet of Things and sensor devices.

PurposeThe purpose of this study is to identify, classify and prioritize the benefits, challenges and risks for the integrated use of building information modeling (BIM), radio frequency identification (RFID) and wireless sensor network (WSN) in the architecture, engineering, construction and operation (AECO) industry.Design/methodology/approachThis study relies on the mixed method approach which consists of systematic literature review, semistructured interviews and Delphi technique. A systematic literature review was performed and face-to-face semistructured interviews with seven subject matter experts (SMEs) were conducted for identification and classification purposes. Delphi method was applied in two structured rounds with eleven SMEs for prioritization purpose. These three research techniques were chosen to reach the most accurate data by combining different perspectives on the subject matter. Data gathered by these three methods was triangulated to increase the validity and reliability of this research.FindingsThirteen benefits, ten challenges and four risks for the integrated use of BIM, RFID and WSN were identified. The results could aid the practitioners and researchers comprehend the pros and cons of this integration by representing SMEs’ valuable insights and perspectives about the current and future status, trends, limitations and requirements of the AECO industry. The identified risks and challenges show the requirements for future studies while the benefits demonstrate the capabilities and the potential contributions of this hybrid integration to the AECO industry.Originality/valueThe integration of BIM, RFID and WSN is still not commonly implemented in the AECO industry. Some studies focused on this topic; however, none of them reveals the benefits, risks and challenges for integrating BIM, RFID and WSN in a holistic manner. This research makes a significant contribution to the AECO literature and industry by uncovering the benefits, challenges and risks for the integrated use of BIM, RFID and WSN that could increase industry applications.

Wireless radio frequency identification (RFID) has been widely used as the core technology of the Internet of Things, but it also brings many potential security risks. In this paper, two typical RFID security authentication protocols are analyzed in depth. The results show that the two protocols have security risks, and two targeted attack methods are proposed. Next, two RFID security authentication protocols which can resist the DoS, replay, and tracing attacks are designed. The first protocol uses index grouping and dynamic renewal mechanism. Since the Rabin public key encryption algorithm verification only requires square and modulo operations, the second protocol introduces the public key encryption algorithm into the cost-sensitive RFID tag, and formally verifies the functionality of the proposed scheme by SPIN. Furthermore, the security of the protocol is proven by the BAN logic. The grouping index method can effectively improve the ability to locate tags in a large database and enhance the practicability of the protocol. The introduction of the Rabin public key algorithm improves the security of the protocol under the condition of cost control.

Radio Frequency Identification (RFID) and Wireless Sensor Network (WSN) are two important wireless technologies that have wide variety of applications and provide limitless future potentials. However, RFID and sensor networks almost are under development in parallel way. Integration of RFID and wireless sensor networ ks attracts little attention from research community. This paper first presents a brief introduction on RFID, and then investigates recent research works, new products/pa tents and applications that integrate RFID with sensor networks. Four types of integration are discussed. They are integrating tags with sensors, integrating tags with wireless sensor nodes, integrating readers with wir eless sensor nodes and wireless devices, and mix of RFID and sensors. New challenges and future works are discus sed in the end.

This paper presents the design and performance measurements of a wireless sensor prototype platform (UbiSensor). UbiSensor combines techniques used in wireless microsensors and radio frequency identification (RFID) resulting a wireless sensor having sensing, data processing, network protocol execution, and energy scavenging capabilities. The platform design is driven by energy consumption minimization of given tasks. A commercially available microcontroller, low power RF transceiver, and power generator circuits are used. The measurements indicate 430 /spl mu/W power consumption in typical operating conditions, using 1 Hz sample and transmit rate, which can be scavenged by a 29 mm/sup 2/ sized solar cell or using a transponder interface circuit in a near proximity to a RFID reader. UbiSensor performance results are promising, but further research is required.

Study and Application of Typical Disaster Monitoring and Early Warning System in Metal Mine

RFID technology and its diverse applications: A brief exposition with a proposed Machine Learning approach

Radio Frequency Identification (RFID) and Wireless Sensor Network (WSN) are two important wireless technologies for pervasive systems. Both of them have deployed in many areas. RFID and WSN, have their own advantages, are always deployed respectively. Integration of RFID and WSN is given little attention. In this paper, the system integrated RFID and WSN is designed. The Management software is also implemented. This flexible prototype is applied in warehouse to verify the feasibility.

Radio frequency identification (RFID) operates in different frequency bands (e.g., 125 kHz, 13.56 MHz, 868/915 MHz, 2.45 GHz and 5.8 GHz). Nowadays, indoor environment communications at frequency range 2.45 GHz have Bluetooth (IEEE 802.15.1) of wireless personal area networks (WPANs) and RFID systems working altogether which occur interference signals mainly by IEEE 802.15.1 of WPANs. This paper analyzes about interference effect from IEEE 802.15.1 to performance of RFID system at 2.45 GHz. From our study, it indicates that IEEE 802.15.1 interference can cause a significant increase in the bit error rate (BER) and the radio propagation loss of RFID system.