Are RFID Sensing Systems Ready for the Real World?

Wang, Ju; Chang, Liqiong; Abari, Omid; Keshav, Srinivasan

doi:10.1145/3307334.3326084

Cited by 56 publications

(11 citation statements)

References 35 publications

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“…RFID-based sensing systems [10,28,33,36] receive a growing interest. Some recent works propose motion tracking systems [5,18].…”

Section: Related Workmentioning

confidence: 99%

“…To be noticed, our scheme can extract additional channel estimation from the collided data, which is built on the top of commercial standard. Hence, our scheme can benefit all RFID based sensing systems that utilize channel variation to detect the change of environment, for example, activity recognition [2,19,33], motion tracking [4,12,26,32], agriculture monitoring [34], robotics applications [3,25,30] and so on.…”

Section: Why Simultaneous Sensing Is Important In Rfid Sensing Systems?mentioning

confidence: 99%

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Embracing Collisions to Increase Fidelity of Sensing Systems with COTS Tags

Sun

Srinivasan

2021

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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RFID techniques have been extensively used in sensing systems due to their low cost. However, limited by the structural simplicity, collision is one key issue which is inevitable in RFID systems, thus limiting the accuracy and scalability of such sensing systems. Existing anti-collision techniques try to enable parallel decoding without sensing based applications in mind, which can not operate on COTS RFID systems. To address the issue, we propose COFFEE, which enables parallel channel estimation of COTS passive tags by harnessing the collision. We revisit the physical layer design of current standard. By exploiting the characteristics of low sampling rate and channel diversity of RFID tags, we separate the collided data and extract the channels of the collided tags. We also propose a tag identification algorithm which explores history channel information and identify the tags without decoding. COFFEE is compatible with current COTS RFID standards which can be applied to all RFID-based sensing systems without any modification on tag side. To evaluate the real world performance of our system, we build a prototype and conduct extensive experiments. The experimental results show that we can achieve up to 7.33x median time resolution gain for the best case and 3.42x median gain on average.

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“…RFID-based sensing systems [10,28,33,36] receive a growing interest. Some recent works propose motion tracking systems [5,18].…”

Section: Related Workmentioning

confidence: 99%

Section: Why Simultaneous Sensing Is Important In Rfid Sensing Systems?mentioning

confidence: 99%

Embracing Collisions to Increase Fidelity of Sensing Systems with COTS Tags

Sun

Srinivasan

2021

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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“…Generally, we are aware of that the different materials where the tag attached will impact the measurements (both for RSSI and phase) [31]. But there is no literature reporting that the materials inside the parcels or boxes also affect the backscattered signal, and the positioning performance further.…”

Section: B Materials Inside the Cartonmentioning

confidence: 99%

ReLoc: Hybrid RSSI-and Phase-based Relative UHF-RFID Tag Localization with COTS Devices

Tanghe

David

et al. 2020

IEEE Trans. Instrum. Meas.

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Radio frequency identification (RFID) technology brings tremendous advancements in Industrial Internet-of-Things (IIoT), especially for smart inventory management, as it provides a fast, and low-cost way of counting or positioning items in warehouse. In the last decade, many novel solutions including absolute and relative positioning methods, have been proposed for this application. However, the available methods are quite sensitive to the minor changes in the deployment scenario, including the orientation of the tag and antenna, the materials contained inside the carton, tag distortion, multipath propagation, etc. To this end, we propose a hybrid relative passive RFID localization method (ReLoc) based on both the received signal strength indicator (RSSI) and measured phases, which orders the RFID tags horizontally and vertically. In this paper, phase-based variant maximum likelihood estimation is proposed for lateral positioning, and the RSSI profiles of two tilted antennas are compared with each other for level distinguishing. We implement the proposed positioning system ReLoc with commercial off-theshelf RFID devices. The experiment in a warehouse shows that ReLoc is a powerful solution for practical item-level inventory management. The experimental results show that ReLoc achieves an average lateral and level ordering accuracy of 94.6% and 94.3%, respectively. Notably, when considering liquid or metal materials inside the carton, or tag distortion, ReLoc still performs excellently with more than 93% ordering accuracy both horizontally and vertically, indicating the robustness of the proposed method.Index Terms-Radio frequency identification (RFID), ultra high frequency (UHF), received signal strength indicator (RSSI), phase, multipath propagation, indoor localization, industrial Internet-of-Things (IIoT), inventory management, unmanned aerial vehicle (UAV). I. INTRODUCTIONS UPPLY chain businesses continue to increase in flexibility and complexity. The ever increasing success of ecommerce requires new supply chain solutions at every stage of operations, including continuous inventory management. Nowadays, most warehouse systems have adopted automatic identification technology such as barcodes or ultra high frequency radio frequency identification (UHF-RFID) tags for automated inventory control, since it helps to minimize the risk of manual errors [1], [2]. However, even though these Manuscript received xx, 2019; revised xx, 2020.

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“…Such systems include RFID-based tags displaying external information [102], elderly monitoring based on embedded-in-clothes RFID tags [58], surface shape detection [59], speech recognition [142], augmented reality with (i) unmodified RFID tags [72] and (ii) modified RFID tags (to enable touch sensing) [47], interactive building block system with augmented RFID tags 8 [48,76] or finger gesture measurement [62]. It needs to be emphasized that any RFID tags-based interaction is very sensitive to interference and signal mis-matches as demonstrated in [141].…”

Section: Related Workmentioning

confidence: 99%

Battery-Free Game Boy

Winkel

Kortbeek

Hester

et al. 2020

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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We present ENGAGE, the first battery-free, personal mobile gaming device powered by energy harvested from the gamer actions and sunlight. Our design implements a power failure resilient Nintendo Game Boy emulator that can run off-the-shelf classic Game Boy games like Tetris or Super Mario Land. This emulator is capable of intermittent operation by tracking memory usage, avoiding the need for always checkpointing all volatile memory, and decouples the game loop from user interface mechanics allowing for restoration after power failure. We build custom hardware that harvests energy from gamer button presses and sunlight, and leverages a mixed volatility memory architecture for efficient intermittent emulation of game binaries. Beyond a fun toy, our design represents the first battery-free system design for continuous user attention despite frequent power failures caused by intermittent energy harvesting. We tackle key challenges in intermittent computing for interaction including seamless displays and dynamic incentive-based gameplay for energy harvesting. This work provides a reference implementation and framework for a future of battery-free mobile gaming in a more sustainable Internet of Things. CCS Concepts: • Human-centered computing → Handheld game consoles; • Hardware → Renewable energy; • Computer systems organization → Embedded systems;

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Are RFID Sensing Systems Ready for the Real World?

Cited by 56 publications

References 35 publications

Embracing Collisions to Increase Fidelity of Sensing Systems with COTS Tags

Embracing Collisions to Increase Fidelity of Sensing Systems with COTS Tags

ReLoc: Hybrid RSSI-and Phase-based Relative UHF-RFID Tag Localization with COTS Devices

Battery-Free Game Boy

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