A Museum Artefact Monitoring Testbed using LoRaWAN

Gawade, Dinesh R.; Simorangkir, Roy B. V. B.; Zorbas, Dimitrios; Kumar, Sanjeev; Ziemann, Steffen; Iacopino, Daniela; Barton, John; Schuhmann, Katharina; Anders, Manfred; O’Flynn, Brendan; Buckley, John

doi:10.1109/iscc53001.2021.9631253

Cited by 6 publications

(4 citation statements)

References 13 publications

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“…The antenna is envisaged for an arm-worn wireless sensing application operating at the European LoRaWAN frequency band, i.e., 863-870 MHz. LoRaWAN was chosen as the radio technology because of its attractive features of longrange communication with cost-effective infrastructure, high network reliability (packet delivery ratio (PDR) > 0.995), and low power consumption (< 105 mW) [35].…”

Section: Proposed Antenna a Topologymentioning

confidence: 99%

Transparent Epidermal Antenna for Unobtrusive Human-Centric Internet of Things Applications

Simorangkir

Gawade

Hannon

et al. 2024

IEEE Internet Things J.

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The concept of optical transparency in antennas for epidermal electronics is demonstrated in this work as a means of improving the long-term comfort-of-wear level and possibly opening up a wider range of applications. In contrast to previous attempts, the epidermal antenna transparency is achieved by employing dielectric and conductive materials that are both transparent and flexible (i.e., polydimethylsiloxane-transparent conductive textile composite) via a non-clean room procedure that is relatively simpler and less expensive. To demonstrate the concept, a modified rectangular loop epidermal antenna for an arm-worn wireless sensing system operating at 868 MHz Ultra High Frequency (UHF) band is designed. Through a systematic numerical investigation, an interesting radiation response of the loop epidermal antenna as the result of two opposing mechanisms of radiation and loss is revealed, which dictates a specific design guideline for the loop when attached to the body compared to that in free space. Two antenna prototypes were fabricated with the developed transparent composite and its non-transparent counterpart. Then, comprehensive characterizations comparing both epidermal antenna prototypes were carried out, including antenna return loss and far-field tests on a human forearm phantom, and indoor wireless connectivity tests using a human test subject. By showing similar performance between the two prototypes, the study provides a convincing demonstration of the applicability of the developed transparent composite for the class of epidermal antenna and the capability of a transparent antenna to enable wireless connectivity in the context of epidermal electronics.

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Section: Proposed Antenna a Topologymentioning

confidence: 99%

Transparent Epidermal Antenna for Unobtrusive Human-Centric Internet of Things Applications

Simorangkir

Gawade

Hannon

et al. 2024

IEEE Internet Things J.

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“…Specifically, the LoRaWAN standard utilizes a star network topology [54], offering significantly improved wireless communication range with reduced infrastructure cost compared to 2.45 GHz-based technologies, such as Bluetooth Low Energy (BLE). While BLE adopts a mesh network topology necessitating multiple relay nodes for extended coverage [55] this approach invariably increases the complexity and network infrastructure cost [56].…”

Section: Advantages Of Wireless Communications At Sub-ghz Frequenciesmentioning

confidence: 99%

Sub-GHz Wrist-Worn Antennas for Wireless Sensing Applications: A Review

Kumar,

Moloudian,

Simorangkir

et al. 2024

IEEE Open J. Antennas Propag.

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With recent advances in wearable wrist-worn wireless sensing applications, the demand for smartwatches and wristbands is rapidly increasing due to their widespread adoption in applications such as smart health monitoring, security, and fitness tracking. Currently, these devices primarily operate in the 2.45 GHz band, leveraging the availability of Bluetooth and Wi-Fi wireless technologies. However, the use of 433 MHz, 868 MHz, 915 MHz, 923 MHz) for wearable systems has also gained interest due to the emergence of wireless technologies like long-range wide area network (LoRaWAN), narrowband-IoT (NB-IoT) and Sigfox, which offer the potential for long-range wireless communications and sensing applications. In recent times, there has been a notable surge in the commercial production of a variety of Sub-GHz wrist-worn wireless sensing devices for health monitoring and tracking applications. Nevertheless, communications at Sub-GHz frequencies present significant challenges in antenna design, primarily due to the practical size constraints of wrist-worn devices and the necessity for using electrically small antennas. This paper meticulously reviews wrist-worn Sub-GHz antennas reported in the literature, analyzing key antenna parameters such as antenna topology, size, impedance bandwidth, peak realized gain, radiation efficiency, and specific absorption rate (SAR). Additionally, it underlines antenna design challenges, limitations, current trends, and presents potential future perspectives. To the best of the author's knowledge, there is currently no existing literature comprehensively reviewing Sub-GHz wristworn antennas. Therefore, this paper represents the inaugural effort to provide a comprehensive review in this specific domain.

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“…C ONVENTIONAL passive Radio Frequency Identification (RFID) systems have seen widespread adoption in various industries, revolutionizing supply chain management, contact-less payments, asset-tracking, authentication, animal identification and sensing for various Internet of Things (IoT) applications [1]- [7]. However, recent advances have paved the way for chipless RFID (CRFID), which eliminates the need for an integrated circuit silicon device component and offers cost-effectiveness, flexibility, sensing capabilities, as well as enhanced security [8]- [12].…”

Section: Introductionmentioning

confidence: 99%

Deep-Learning-Assisted Robust Detection Techniques for a Chipless RFID Sensor Tag

Rather,

Simorangkir,

Buckley

et al. 2024

IEEE Trans. Instrum. Meas.

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In this paper, we present a new approach for robust reading of identification and sensor data from chipless RFID sensor tags. For the first time, Machine Learning (ML) and Deep Learning (DL) regression modelling techniques are applied to a dataset of measured Radar Cross Section (RCS) data that has been derived from large-scale robotic measurements of custom-designed, 3-bit chipless RFID sensor tags. The robotic system is implemented using the first-of-its-kind automated data acquisition method using an ur16e industry-standard robot. A data set of 9,600 Electromagnetic (EM) RCS signatures collected using the automated system is used to train and validate four ML models and four 1-dimensional Convolutional Neural Network (1D CNN) architectures. For the first time, we report an end-toend design and implementation methodology for robust detection of identification (ID) and sensing data using ML/DL models. Also, we report, for the first time, the effect of varying tag surface shapes, tilt angles, and read ranges that were incorporated into the training of models for robust detection of ID and sensing values. The results show that all the models were able to generalise well on the given data. However, the 1D CNN models outperformed the conventional ML models in the detection of ID and sensing values. The best 1D CNN model architectures performed well with a low Root Mean Square Error (RSME) of 0.061 (0.87%) for tag ID and 0.0241 (3.44%) error for the capacitive sensing.

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A Museum Artefact Monitoring Testbed using LoRaWAN

Cited by 6 publications

References 13 publications

Transparent Epidermal Antenna for Unobtrusive Human-Centric Internet of Things Applications

Transparent Epidermal Antenna for Unobtrusive Human-Centric Internet of Things Applications

Sub-GHz Wrist-Worn Antennas for Wireless Sensing Applications: A Review

Deep-Learning-Assisted Robust Detection Techniques for a Chipless RFID Sensor Tag

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