Switched-Antenna Low-Frequency (LF) Radio-Frequency Identification (RFID) for Ornithology

Wallace, Jon W.; Diamantides, Leah C.; Ki, Kwanho C.; Butler, Michael W.

doi:10.1109/jrfid.2020.2971534

Cited by 7 publications

(4 citation statements)

References 24 publications

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“…Insect Bee [67], [83], [105] Insect [50] Weevil [77] Bird Bird [32] Broiler chicken [53] Chicken [47], [73] Goose [69] Hen [68] Hummingbird [19] Laying hen [33], [71] Pigeon [49] Poultry [52] Wild bird [30], [99] Mammal Bison [107] Buffalo [95] Cattle [89], [36], [51], [94], [38], [3], [57], [43], [74], [91], [35], [76], [52], [90], [8], [18], [80], [7], [88], [42], [87], [85], [62], [58] Domestic animal [18], [61], [82] Elephant [63] Goat [57], …”

Section: Type Animals Referencesmentioning

confidence: 99%

RFID Technology for Animal Tracking: A Survey

Pereira,

Araújo,

Silva

et al. 2023

IEEE J. Radio Freq. Identif.

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The application of animal tracking holds significant importance across diverse economic domains, encompassing sectors including livestock husbandry, agricultural practices, and the conservation of wildlife populations. It aims to track and understand animal behavior, movement patterns, and health status. The predominant use of RFID technology is observed within the domains of logistics, localization, and the tracking of goods. Notably, the application of this technology in the field of animal tracking has experienced a significant surge in popularity in recent years. This paper conducts a systematic literature review focused on understanding how RFID technology is being applied in the field of animal tracking. We have conducted a stateof-the-art research regarding animal tracking solutions in the scientific literature and patents. We have analyzed these solutions targeting which animals are being tracked, which problems are addressed, operating frequency, and whether other technologies are combined with RFID for animal tracking purposes. Among the categories of problems addressed, livestock management emerged as the main area, followed by animal tracking and traceability. Mammals, especially cattle, are the most common type of animal monitored. Considering RFID technology, passive UHF tags appeared more often. Moreover, many works also employed cameras and GPS together with RFID. Finally, this work can significantly contribute to this field by systematically presenting a state-of-the-art application of RFID for animal tracking.

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Section: Type Animals Referencesmentioning

confidence: 99%

RFID Technology for Animal Tracking: A Survey

Pereira,

Araújo,

Silva

et al. 2023

IEEE J. Radio Freq. Identif.

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“…As shown in Table 1, for both matching techniques: T-Match and inductively coupled loop, we have obtained an antenna size of 67  110  1.575 mm 3 while for nested-slots method, we have acquired an antenna size of 100  100  1.575 mm 3…”

Section: Antennas Design Approachmentioning

confidence: 99%

“…RFID means Radio Frequency IDentification, it is the generic term of technology that uses the radio waves to detect, locate and identify objects bearing smart labels when located in a reader field. RFID have many applications and massively deployed in medical field for patient identification and monitoring, for prevention of medical errors and for tracking documents and samples [1]; in logistics, precisely for supply chain management [2] and it is also used for objects and animals' traceability [3], etc.…”

Section: Introductionmentioning

confidence: 99%

Patch Antennas with T-Match, Inductively Coupled Loop and Nested-slots Layouts for Passive UHF-RFID Tags

Raihani¹,

Benbassou²,

Ghzaoui³

et al. 2021

J. Nano- Electron. Phys.

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The objective of this article is to study the performance of the RFID (Radio Frequency Identification) technology and especially the passive UHF RFID (Ultra High Frequency RFID) tags by mean of simulation. In this paper, three patch antennas with different matching techniques for passive UHF-RFID tags are proposed. T-Match, inductively coupled loop and nested-slots layouts are adopted in order to achieve complex impedance matching between the antennas impedance and the chip selected at 915 MHz with high performance. The antennas are printed on a Rogers RT/duroid 5880 substrate with a relative permittivity of 2.2 and thickness of 1.575 mm. Studies demonstrate that the inductively coupled loop and the nested-slots matching techniques are the good candidates to adapt the antenna impedance to chip impedance, while adaptation in T is intended to be only used for dipole antennas. We have achieved an adaptation of 99.90 %, a very wide bandwidth of 409.6 MHz, a broadside an asymmetrical radiation pattern in the E-plane, a read range of 21.19 m and an antenna gain of 4.17 dB with the inductively coupled loop matching technique, while with the nested-slots matching method, we have acquired an adaptation of 99.94 %, a directive antenna, a read range of 19.83 m and a gain of 3.59 dB.

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“…The tag is built with a microprocessor and antennae. Devices in the IoTs context may be identified by a unique identifier [14]. Radio waves are used by the reader to communicate with a tag attached to the item and exchange data.…”

Section: Radio-frequency Identification (Rfid)mentioning

confidence: 99%

IoT Sensors for Smart Health Devices and Data security in Healthcare

2021

JBSHA

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Smart applications and monitoring systems across health systems are provided by the Internet of Things (IoTs), which connects devices and networks, and potentially deliver new technologies in this field. In order to establish an IoT-based healthcare system that protects patients' sensitive and personal information, it is imperative that security be ensured. It was our goal to identify the elements and ideas connected with the security needs of the Internet of Things in the healthcare sector. In the healthcare industry, a survey was done on the security needs of IoTs devices. Data from Web of Science, IEEE, Scopus, and PubMed has been searched since 2005. In addition, we adhered to international norms and recognized rules for cyberspace security. This paper presents an an analysis of the aspects and ideas relevant to the security needs of IoTs in a medical environment. Our research revealed two major categories of security needs: cyber resilience and cyber security. In the cyber security category, there are CIA (Confidentiality, Integrity and Availability) Triad and the non-CIA subcategories. Information security (Confidentiality, Integrity and Availability represented the CIA triad), performability, survivability, maintainability, safety, and reliability were listed as the primary elements for cyber resilience needs. The trustworthiness of Healthcare Internet of Things (HIoTs) relies on balancing traditional (cyber security) and unique (cyber resilience) needs.

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Switched-Antenna Low-Frequency (LF) Radio-Frequency Identification (RFID) for Ornithology

Cited by 7 publications

References 24 publications

RFID Technology for Animal Tracking: A Survey

RFID Technology for Animal Tracking: A Survey

Patch Antennas with T-Match, Inductively Coupled Loop and Nested-slots Layouts for Passive UHF-RFID Tags

IoT Sensors for Smart Health Devices and Data security in Healthcare

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