1,204 research outputs found
RFID Localisation For Internet Of Things Smart Homes: A Survey
The Internet of Things (IoT) enables numerous business opportunities in
fields as diverse as e-health, smart cities, smart homes, among many others.
The IoT incorporates multiple long-range, short-range, and personal area
wireless networks and technologies into the designs of IoT applications.
Localisation in indoor positioning systems plays an important role in the IoT.
Location Based IoT applications range from tracking objects and people in
real-time, assets management, agriculture, assisted monitoring technologies for
healthcare, and smart homes, to name a few. Radio Frequency based systems for
indoor positioning such as Radio Frequency Identification (RFID) is a key
enabler technology for the IoT due to its costeffective, high readability
rates, automatic identification and, importantly, its energy efficiency
characteristic. This paper reviews the state-of-the-art RFID technologies in
IoT Smart Homes applications. It presents several comparable studies of RFID
based projects in smart homes and discusses the applications, techniques,
algorithms, and challenges of adopting RFID technologies in IoT smart home
systems.Comment: 18 pages, 2 figures, 3 table
A survey on wireless indoor localization from the device perspective
With the marvelous development of wireless techniques and ubiquitous deployment of wireless systems indoors, myriad indoor location-based services (ILBSs) have permeated into numerous aspects of modern life. The most fundamental functionality is to pinpoint the location of the target via wireless devices. According to how wireless devices interact with the target, wireless indoor localization schemes roughly fall into two categories: device based and device free. In device-based localization, a wireless device (e.g., a smartphone) is attached to the target and computes its location through cooperation with other deployed wireless devices. In device-free localization, the target carries no wireless devices, while the wireless infrastructure deployed in the environment determines the target’s location by analyzing its impact on wireless signals.
This article is intended to offer a comprehensive state-of-the-art survey on wireless indoor localization from the device perspective. In this survey, we review the recent advances in both modes by elaborating on the underlying wireless modalities, basic localization principles, and data fusion techniques, with special emphasis on emerging trends in (1) leveraging smartphones to integrate wireless and sensor capabilities and extend to the social context for device-based localization, and (2) extracting specific wireless features to trigger novel human-centric device-free localization. We comprehensively compare each scheme in terms of accuracy, cost, scalability, and energy efficiency. Furthermore, we take a first look at intrinsic technical challenges in both categories and identify several open research issues associated with these new challenges.</jats:p
Research on port AGV composite positioning based on UWB/RFID
In recent years, ports in various countries have successively carried out research and
application of fully automated terminal. The terminal adopts the "Double car shore
bridge + AGV + ARMG" automation process, which is the most widely used and
relatively mature fully automated solution. At present, the AGV navigation of the
terminal is based on RFID magnetic nail positioning and the accuracy is good. However,
nowadays UWB technology has become the most popular technology in ranging and
positioning. The research in this work is based on UWB/RFID composite positioning,
which is mainly used for the specific localization tasks in the port and it can accurately
locate the position of the AGV.
This MSc work studies the UWB positioning system first and then researches the
traditional 3D positioning algorithm. Importance contribution expressed by 3D TOA
localization algorithm. For RFID system, this connection between the reader and the
carrier is designed, and the reference tag is buried. At last, data-based on RFID
localization algorithm in scene analysis method is adopted for positioning. Secondly,
the basis of the composite positioning system is data fusion technology. The most
widely used and mature fusion algorithm is the Kalman filter algorithm and Particle
filter. Finally, the experimental analysis of UWB and RFID composite positioning
system is implemented. The results indicate that UWB and RFID composite positioning
system can reduce the cost of the positioning system. Higher positioning accuracy and
robustness are characterizing the developed system.Nos últimos anos, portos de vários países realizaram sucessivamente pesquisas e
aplicações de terminais totalmente automatizados. O terminal adota o processo de
automação "Double car shore bridge + AGV + ARMG", que é a solução totalmente
automatizada mais amplamente utilizada e relativamente madura. Atualmente, a
navegação AGV do terminal é baseada no posicionamento da etiqueta RFID e a
precisão é boa. No entanto, hoje em dia, a tecnologia UWB tornou-se na tecnologia
mais popular relativamente ao alcance e posicionamento. A pesquisa neste trabalho é
baseada no posicionamento composto por UWB / RFID, usado principalmente para
tarefas de localização específicas nos portos, podendo desta forma localizar-se com
precisão a posição do AGV.
Este projeto de mestrado estuda em primeiro lugar o sistema de posicionamento UWB,
e depois um algoritmo tradicional de posicionamento 3D. A contribuição da
importância expressa pelo algoritmo de posicionamento “time of arrival” (TOA) 3D foi
proposta. Para o sistema de posicionamento RFID, a conexão entre o leitor e a
transportadora é projetada e a etiqueta de referência é ocultada. Por fim, o algoritmo de
“k-nearest neighbor” baseado numa base de dados e no método de análise de cena é
adotado para realizar o posicionamento. Em segundo lugar, a base do sistema de
posicionamento composto é a tecnologia de fusão de dados. O algoritmo de fusão mais
amplamente utilizado e maduro é o algoritmo de filtro Kalman e o filtro de partículas.
Finalmente, é realizada a análise experimental do sistema de posicionamento composto
UWB e RFID. Os resultados experimentais mostram que o sistema de posicionamento
composto UWB e RFID pode reduzir o custo do sistema de posicionamento. O sistema
desenvolvido é caracterizado por uma maior precisão de posicionamento e robustez
The Applicability of RFID for Indoor Localization
Chapter 11 : The applicability of RFID for indoor localizatio
Feasibility of LoRa for Smart Home Indoor Localization
With the advancement of low-power and low-cost wireless technologies in the past few years, the Internet of Things (IoT) has been growing rapidly in numerous areas of Industry 4.0 and smart homes. With the development of many applications for the IoT, indoor localization, i.e., the capability to determine the physical location of people or devices, has become an important component of smart homes. Various wireless technologies have been used for indoor localization includingWiFi, ultra-wideband (UWB), Bluetooth low energy (BLE), radio-frequency identification (RFID), and LoRa. The ability of low-cost long range (LoRa) radios for low-power and long-range communication has made this radio technology a suitable candidate for many indoor and outdoor IoT applications. Additionally, research studies have shown the feasibility of localization with LoRa radios. However, indoor localization with LoRa is not adequately explored at the home level, where the localization area is relatively smaller than offices and corporate buildings. In this study, we first explore the feasibility of ranging with LoRa. Then, we conduct experiments to demonstrate the capability of LoRa for accurate and precise indoor localization in a typical apartment setting. Our experimental results show that LoRa-based indoor localization has an accuracy better than 1.6 m in line-of-sight scenario and 3.2 m in extreme non-line-of-sight scenario with a precision better than 25 cm in all cases, without using any data filtering on the location estimates
XRLoc: Accurate UWB Localization for XR Systems
Understanding the location of ultra-wideband (UWB) tag-attached objects and
people in the real world is vital to enabling a smooth cyber-physical
transition. However, most UWB localization systems today require multiple
anchors in the environment, which can be very cumbersome to set up. In this
work, we develop XRLoc, providing an accuracy of a few centimeters in many
real-world scenarios. This paper will delineate the key ideas which allow us to
overcome the fundamental restrictions that plague a single anchor point from
localization of a device to within an error of a few centimeters. We deploy a
VR chess game using everyday objects as a demo and find that our system
achieves cm median accuracy and cm percentile
accuracy in dynamic scenarios, performing at least better than
state-of-art localization systems. Additionally, we implement a MAC protocol to
furnish these locations for over tags at update rates of Hz, with a
localization latency of ms
PRLS-INVES: A General Experimental Investigation Strategy for High Accuracy and Precision in Passive RFID Location Systems
Due to cost-effectiveness and easy-deployment, radio-frequency identification (RFID) location systems are widely utilized into many industrial fields, particularly in the emerging environment of the Internet of Things (IoT). High accuracy and precision are key demands for these location systems. Numerous studies have attempted to improve localization accuracy and precision using either dedicated RFID infrastructures or advanced localization algorithms. But these effects mostly consider utilization of novel RFID localization solutions rather than optimization of this utilization. Practical use of these solutions in industrial applications leads to increased cost and deployment difficulty of RFID system. This paper attempts to investigate how accuracy and precision in passive RFID location systems (PRLS) are impacted by infrastructures and localization algorithms. A general experimental-based investigation strategy, PRLS-INVES, is designed for analyzing and evaluating the factors that impact the performance of a passive RFID location system. Through a case study on passive high frequency (HF) RFID location systems with this strategy, it is discovered that: 1) the RFID infrastructure is the primary factor determining the localization capability of an RFID location system and 2) localization algorithm can improve accuracy and precision, but is limited by the primary factor. A discussion on how to efficiently improve localization accuracy and precision in passive HF RFID location systems is given
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