Fast Inventory for 3GPP Ambient IoT Considering Device Unavailability Due to Energy Harvesting

With the growing demand for massive internet of things (IoT), new IoT technology, namely ambient IoT (A-IoT), has been studied in the 3rd Generation Partnership Project (3GPP). A-IoT devices are batteryless and consume ultra-low power, relying on energy harvesting and energy storage to capture a small amount of energy for communication. A promising use-case of A-IoT is inventory, where a reader communicates with hundreds of A-IoT devices to identify them. However, energy harvesting required before communication can significantly delay or even fail inventory completion. In this work, solutions including duty cycled monitoring (DCM), device grouping and low-power receiving chain are proposed. Evaluation results show that the time required for a reader to complete an inventory procedure for hundreds of A-IoT devices can be reduced by 50% to 83% with the proposed methods.

Authors

Institutions

Publication Details

Journal
IEEE Communications Standards Magazine
Published
2025-05-23
DOI
https://doi.org/10.1109/mcomstd.2025.3573065
Citations
1
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fast Inventory for 3GPP Ambient IoT Considering Device Unavailability Due to Energy Harvesting

Kiran Mukkavilli, Piyush Gupta, Z. Hugh Fan, Ruiming Zheng et al.
1 citations
IEEE Communications Standards Magazine
Energy Harvesting in Wireless Networks
0.73
article

Fast Inventory for 3GPP Ambient IoT Considering Device Unavailability Due to Energy Harvesting

Kiran Mukkavilli, Piyush Gupta, Z. Hugh Fan, Ruiming Zheng, Tingfang Ji, Liu‐Qin Yang, Zhikun Wu, Chengjin Zhang, Hao Xu, Kazuhiro Takeda
article en
1 citations

Abstract

With the growing demand for massive internet of things (IoT), new IoT technology, namely ambient IoT (A-IoT), has been studied in the 3rd Generation Partnership Project (3GPP). A-IoT devices are batteryless and consume ultra-low power, relying on energy harvesting and energy storage to capture a small amount of energy for communication. A promising use-case of A-IoT is inventory, where a reader communicates with hundreds of A-IoT devices to identify them. However, energy harvesting required before communication can significantly delay or even fail inventory completion. In this work, solutions including duty cycled monitoring (DCM), device grouping and low-power receiving chain are proposed. Evaluation results show that the time required for a reader to complete an inventory procedure for hundreds of A-IoT devices can be reduced by 50% to 83% with the proposed methods.

IEEE Communications Standards MagazineVol. 9(4)
Qualcomm (United Kingdom) (GB), Qualcomm (United States) (US)
Affordable and clean energy
Openalex Percentile: Top 28%
Energy Harvesting in Wireless Networks
0.73
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.