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UbiComp2026顶会

SOPAR: Bee Localization and Tracking Using RF Sub-harmonic Oscillating Parametric Resonator in Hive Environments

Qijun Wang, Peihao Yan, Geo Jie Zhou, Xiang Liu, Dan Stanley, Zachary Huang, Chunqi Qian, Huacheng Zeng

2026年份

摘要

Honey bees play a vital role in global agriculture. Understanding the movement of a queen bee within a hive box is essential for advancing both biological research and practical apiculture. In this paper, we present SOPAR, a novel Radio Frequency (RF) Sub-harmonic Oscillating Parametric Resonator designed for non-invasive localization and tracking of a queen bee inside a full-size hive box. The core component of SOPAR is a lightweight RF backscatter tag that can be attached to a bee's thorax without affecting its normal behavior. The tag comprises two passive resonators: (i) an inner spiral inductor bridged by a varactor diode and (ii) an outer circular inductor with a gap bridged by a chip capacitor. The outer inductor harvests energy from the external excitation signal, driving the oscillation of the inner spiral resonator to produce sub-harmonic backscattered signals at half the excitation frequency. The frequency separation between excitation and backscatter signals eliminates self-interference at the RF reader, significantly improving signal-to-noise ratio (SNR) and detection range. The layout of the two resonators is meticulously optimized to maximize magnetic coupling, thereby minimizing the overall tag size. Building on this dual-resonator tag, we design an RF reader with a Bayesian estimation algorithm that localizes the tagged bee by exploiting the spatio-temporal characteristics of the sub-harmonic backscattered signals. We have built a prototype of SOPAR, featuring a tag with a diameter of only 3.7 mm and a weight of less than 10 mg. Extensive experiments demonstrate that SOPAR achieves a median localization error of 3.7 cm when tracking a queen bee in a full-size hive box. Moreover, the results confirm that SOPAR remains robust under diverse environmental conditions.

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