Slocalization: Sub-uW Ultra Wideband Backscatter Localization

Pannuto, Pat; Kempke, Benjamin; Dutta, Prabal

doi:10.1109/ipsn.2018.00052

Cited by 24 publications

(5 citation statements)

References 28 publications

(40 reference statements)

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“…Meanwhile, backscatter is localization using passive tags and utilizing the backscattering phenomenon to carry out localization. One researcher proposed using this method for energy efficiency purposes [66].…”

Section: A the Sms Results Of Rq1 Rq2 And Rq3: Trend Bibliometric And...mentioning

confidence: 99%

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

Hapsari,

Munadi,

Erfianto

et al. 2024

IEEE Access

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Indoor tag localization technology is one area of research applied to positioning, tracking, and navigation. UWB is a signal that is widely used for indoor tag localization with the consideration of having higher accuracy, wide bandwidth, and low power consumption. The diversity and breadth of research in the field of indoor tag localization can be confusing for new researchers to find out how this research has progressed until this day. The use of other sensors besides UWB in indoor tag localization is an alternative solution offered, thus obscuring the trend of UWB research on indoor tag localization. The way to find out whether indoor tag localization research using UWB still has a good trend and has research opportunities is to read paper reviews from previous researchers. However, until now no one has reviewed the previous paper review using the SMS and SLR methods. The SMS method is quantitative which directs the paper collection to the intended research area so it can be mapped properly. SMS is the process of identifying, categorizing, and analyzing existing literature that is relevant to a certain research topic. Meanwhile, the SLR method is qualitative which makes paper discussions sharper and more focused. SLR is the process of collecting and critically analyzing multiple research studies or papers through a systematic process. It aims to synthesize the findings of the studies and conclude the state of the art on the topic. This paper describes the literacy results of the paper using the SMS and SLR methods to thoroughly discuss research developments on UWB indoor tag localization. The discussion includes research developments and topic areas of indoor tag localization from 2017-2022, trends in the use of UWB in indoor tag localization research, issues and metrics that are carried out in indoor tag localization research, and opportunities for future research. Literacy results show that machine learning, filtering, and sensor fusion are topic areas that are currently being researched on UWB indoor tag localization. In general, every research optimizes performance metrics, namely accuracy, scalability, energy efficiency, latency, cost, and complexity. Each optimized metric related to different issues will be represented in the form of a taxonomy for easy understanding and explained in detail in this paper. Several future promising research opportunities are described in this paper to provide insight to other researchers to dig deeper into this research field.

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Section: A the Sms Results Of Rq1 Rq2 And Rq3: Trend Bibliometric And...mentioning

confidence: 99%

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

Hapsari,

Munadi,

Erfianto

et al. 2024

IEEE Access

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“…If an original power

is emitted, then the received power

can be evaluated by considering the path loss between the power transmitter and backscatter transmitter, losses in the backscatter transmitter, and finally, path loss between the backscatter transmitter and backscatter receiver. Taking into account the three losses above and using the Friis transmission, the power received

is estimated as follows [ 52 ]:

where

represents the transmitted power;

is the gain of the power transmitter;

is the gain of the backscatter receiver;

and

are, respectively, the gains of the backscatter transmitter from the perspective of the transmit and receive antennas;

and

are, respectively, the distances between the power transmitter and backscatter transmitter and that between the backscatter transmitter and the backscatter receiver;

is the speed of light; and finally,

is the frequency of the transmitted signal.…”

Section: Rectenna Feeding Techniques (Rft)mentioning

confidence: 99%

Radiofrequency Energy Harvesting Systems for Internet of Things Applications: A Comprehensive Overview of Design Issues

Mouapi

2022

Sensors

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Radiofrequency energy harvesting (RF-EH) solutions have evolved significantly in recent years due to the ubiquity of electromagnetic waves in any environment. This review presents a comprehensive report on autonomous wireless sensor (WS) design considerations based on RF-EH. The obtainability of RF-EH-WS is driven by development efforts in the areas of RF-EH circuit design, known as rectifying antenna (Rectenna), the minimization of the energy budget of WS (MEB-WS), and finally, power management modules (PMM). The PMM aims to optimize the energy efficiency of the WS. In addition to these three factors, examining the RF power levels harvested related to the rectenna feeding technique (RFT) is essential. Since we did not find any review presenting a holistic view of these design considerations, we strived to provide a detailed picture of recent advances and new enhancements in this review. To address this issue, this review gives an overview of the seminal and contemporary studies in the RF-EH-WS field. The IoT issues are also discussed in terms of their basic requirement to support reduced size or miniaturized smart objects, which are common matters in current applications of WS nodes. Potential open issues that might be considered for future research are also discussed in this article. For a more detailed description of all presented concepts, many significant references are provided for the readers.

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“…WiForceSticker also shows how we can design such analog backscatter sensors and integrate them to existing RFID ICs by having the sensor as a PCB pad component. This feature of WiForceSticker's capacitive sensor allows possible integration with upcoming backscatter technologies as well, like Wi-Fi [57,58], LoRA [59,60] and UWB backscatter [61]. Unlike UHF RFID, these backscatter technologies are still under research with no commercially available IC to interface the sensor in the present day.…”

Section: Integration With Other Backscatter Technologiesmentioning

confidence: 99%

WiForceSticker: Batteryless, Thin Sticker-like Flexible Force Sensor

Gupta¹,

Park²,

Bashar³

et al. 2022

Preprint

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Any two objects in contact with each other exert a force that could be simply due to gravity or mechanical contact, such as a robotic arm gripping an object or even the contact between two bones at our knee joints. The ability to naturally measure and monitor these contact forces allows a plethora of applications from warehouse management (detect faulty packages based on weights) to robotics (making a robotic arms' grip as sensitive as human skin) and healthcare (knee-implants). It is challenging to design a ubiquitous force sensor that can be used naturally for all these applications. First, the sensor should be small enough to fit in narrow joints or not make the robotic arm bulky. Next, we don't want to lay long, cumbersome cables to read the force values from the sensor to the monitoring device. And finally, even current wireless technology requires a battery that could be hazardous for in-body applications. We develop WiForceSticker, a wireless, battery-free, sticker-like force sensor that can be ubiquitously deployed on any surface, such as all warehouse packages, robotic arms, and knee joints. WiForceSticker first designs a tiny 4 mm × 2 mm × 0.4 mm capacitative sensor design equipped with a 10 mm × 10 mm antenna designed on a flexible PCB substrate. Secondly, it introduces a new mechanism to transduce the force information on ambient RF radiations that can be read by a remotely located reader wirelessly without requiring any battery or active components at the force sensor, by interfacing the sensors with COTS RFID systems. The sensor can detect forces in the range of 0-6 N with sensing accuracy of < 0.5 N across multiple testing environments and evaluated with over 10, 000 varying force level presses on the sensor. We also showcase two application case studies with our designed sensors, weighing warehouse packages and sensing forces applied by bone joints.

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Slocalization: Sub-uW Ultra Wideband Backscatter Localization

Cited by 24 publications

References 28 publications

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

Radiofrequency Energy Harvesting Systems for Internet of Things Applications: A Comprehensive Overview of Design Issues

WiForceSticker: Batteryless, Thin Sticker-like Flexible Force Sensor

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