PnPSelect: Plug-and-Play IoT Device Selection Using Ultra-Wideband Signals

In recent years, the number of Internet of Things (IoT) devices in smart homes has rapidly increased. A key challenge affecting user experience is how to enable users to efficiently and intuitively select the devices they wish to control. This paper proposes PnPSelect, a plug-and-play IoT device selection solution utilizing Ultra-Wideband (UWB) technology on commercial devices. Unlike previous works, PnPSelect does not require the installation of dedicated hardware on each IoT device, thereby reducing deployment cost and complexity, and achieving plug-and-play functionality. To enable intuitive device selection, we introduce a pointing direction estimation method that utilizes UWB readings from a single anchor to infer the user’s pointing direction. Additionally, we propose a lightweight device localization method that allows users to register new IoT devices by simply pointing at them from two distinct positions, eliminating the need for manual measurements. We implement PnPSelect on commercial smartphones and smartwatches and conduct extensive evaluations in both controlled laboratory settings and real-world environments. Our results demonstrate high accuracy, robustness, and adaptability, making PnPSelect a practical and scalable solution for next-generation smart home interactions.

Authors

Institutions

Publication Details

Journal
ACM Transactions on Sensor Networks
Published
2026-09-30
DOI
https://doi.org/10.1145/3849088
Primary Topic
Indoor and Outdoor Localization Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

PnPSelect: Plug-and-Play IoT Device Selection Using Ultra-Wideband Signals

Badii Jouaber, Daqing Zhang, Zhaoxin Chang, Fusang Zhang et al.
ACM Transactions on Sensor Networks
Indoor and Outdoor Localization Technologies
article

PnPSelect: Plug-and-Play IoT Device Selection Using Ultra-Wideband Signals

Badii Jouaber, Daqing Zhang, Zhaoxin Chang, Fusang Zhang, Jie Xiong, Ziyu Li
article en

Abstract

In recent years, the number of Internet of Things (IoT) devices in smart homes has rapidly increased. A key challenge affecting user experience is how to enable users to efficiently and intuitively select the devices they wish to control. This paper proposes PnPSelect, a plug-and-play IoT device selection solution utilizing Ultra-Wideband (UWB) technology on commercial devices. Unlike previous works, PnPSelect does not require the installation of dedicated hardware on each IoT device, thereby reducing deployment cost and complexity, and achieving plug-and-play functionality. To enable intuitive device selection, we introduce a pointing direction estimation method that utilizes UWB readings from a single anchor to infer the user’s pointing direction. Additionally, we propose a lightweight device localization method that allows users to register new IoT devices by simply pointing at them from two distinct positions, eliminating the need for manual measurements. We implement PnPSelect on commercial smartphones and smartwatches and conduct extensive evaluations in both controlled laboratory settings and real-world environments. Our results demonstrate high accuracy, robustness, and adaptability, making PnPSelect a practical and scalable solution for next-generation smart home interactions.

ACM Transactions on Sensor Networks
Nanyang Technological University (SG), Chinese Academy of Sciences (CN), Peking University (CN), Institute of Software (CN), Institut Polytechnique de Paris (FR), Télécom SudParis (FR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (FR), Beihang University (CN)
European Commission
Openalex Percentile: Top 99%
Indoor and Outdoor Localization Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.