Design of RFID outdoor localization system: RFID locator for disaster management

Vojtěch, Lukáš; Neruda, Marek; Skapa, Jiri; Novotný, Jiří; Bortel, Radoslav; Korinek, Tomas

doi:10.1109/iot.2015.7356542

Cited by 10 publications

(7 citation statements)

References 19 publications

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“…RFID entails communication between an antenna and electronic tags via radio waves. Passive RFID, primarily used for tracking objects, can operate only at very close ranges of 1-3 m [5], whereas active RFID used for positioning has a much greater range of 15 m to 1 km (Table 1) [124][125][126][127]. RFID tagging is of increasing interest in precision forest management for tracking forest products through the supply chain [124].…”

Section: Rfid and Acoustic Positioningmentioning

confidence: 99%

Positioning Methods and the Use of Location and Activity Data in Forests

Keefe

Wempe

Becker

et al. 2019

Forests

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In this paper, we provide an overview of positioning systems for moving resources in forest and fire management and review the related literature. Emphasis is placed on the accuracy and range of different localization and location-sharing methods, particularly in forested environments and in the absence of conventional cellular or internet connectivity. We then conduct a second review of literature and concepts related to several emerging, broad themes in data science, including the terms location-based services (LBS), geofences, wearable technology, activity recognition, mesh networking, the Internet of Things (IoT), and big data. Our objective in this second review is to inform how these broader concepts, with implications for networking and analytics, may help to advance natural resource management and science in the future. Based on methods, themes, and concepts that arose in our systematic reviews, we then augmented the paper with additional literature from wildlife and fisheries management, as well as concepts from video object detection, relative positioning, and inventory-tracking that are also used as forms of localization. Based on our reviews of positioning technologies and emerging data science themes, we present a hierarchical model for collecting and sharing data in forest and fire management, and more broadly in the field of natural resources. The model reflects tradeoffs in range and bandwidth when recording, processing, and communicating large quantities of data in time and space to support resource management, science, and public safety in remote areas. In the hierarchical approach, wearable devices and other sensors typically transmit data at short distances using Bluetooth, Bluetooth Low Energy (BLE), or ANT wireless, and smartphones and tablets serve as intermediate data collection and processing hubs for information that can be subsequently transmitted using radio networking systems or satellite communication. Data with greater spatial and temporal complexity is typically processed incrementally at lower tiers, then fused and summarized at higher levels of incident command or resource management. Lastly, we outline several priority areas for future research to advance big data analytics in natural resources.

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Section: Rfid and Acoustic Positioningmentioning

confidence: 99%

Positioning Methods and the Use of Location and Activity Data in Forests

Keefe

Wempe

Becker

et al. 2019

Forests

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“…For many others, however, it is necessary to design special antennas that meet and guarantee functionality in given conditions. Several professional publications are devoted to the design of antennas [11][12][13][14][15][16][17][18][19][20][21][22]. As can be seen, the physical properties of the antenna and the reader play a very important role in the design of the RFID system.…”

Section: Methodsmentioning

confidence: 99%

“…Other authors [16][17][18][19][20][21][22] also describe procedures for antenna design, describe how to properly tune the antenna for a given type of application, etc.…”

Section: Methodsmentioning

confidence: 99%

Investigation of UHF Signal Strength Propagation at Warehouse Management Applications Based on Drones and RFID Technology Utilization

et al. 2022

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As a part of the supply chain, inventory management includes, among other things, maintaining the storage of stock, controlling the amount of product for sale and order fulfilment. In business terms, inventory management means the right stock, at the right levels, in the right place, at the right time. In the case of large outdoor warehouses, common identification methods are lengthy and inappropriate. One way to determine inventory easily and quickly is to deploy UAV’s (unmanned aerial vehicle) for product identification purposes. In this case, however, there is a problem in determining where the goods are located. A drone moves at higher altitudes, which can lead to a situation where we will not be able to determine the exact location of the goods. This article deals with a method of determining the correct flight level suitable to distinguish the identified items located at least 2 m apart. The evaluation is performed based on an RSSI (received signal strength indicator) value. The experiment proved that even at maximum reading distance of selected passive UHF RFID tags the two objects can be distinguished.

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“…Furthermore, test inks were prepared such that the concentration of PVP@AgNWs was 12,18,22,27,31,36, and 41 wt% of the total solid content. The compositions were prepared from PVP@AgNWs from each wash cycle.…”

Section: Formulation and Printing Of Agnw Inkmentioning

confidence: 99%

“…19 UHF RFIDassisted outdoor localization has recently gained considerable attention in human position determination, especially in rescue operations in natural calamities and asset management. [20][21][22] However, this kind of integration is challenging due to the human body's conformable nature and the UHF antenna's large feature size, causing the antenna to deform and reducing the performance of the tag. 23 Besides a microchip, passive RFID tags consist of an antenna that detects, modulates, and decrypts signals from the microchip.…”

Section: Introductionmentioning

confidence: 99%