Adaptive Wireless Power Transfer Enabled IoT Sensor Nodes by a Polarization-Insensitive Scalable Planar Rectenna Module

Wireless power transfer (WPT) has emerged as a promising solution for recharging batteries in low-power Internet of Things (IoT) sensor nodes. However, implementing WPT-enabled sensor nodes poses a significant challenge due to the requirement of orientation-insensitive operation with a compact footprint and adaptive power requirements. To address these problems, this article proposes a novel compact polarization-insensitive rectenna module (RM) with scalable design feature to achieve adaptive RF power harvesting capabilities. The RM incorporates four sequentially rotated rectenna unit cells (RUCs) to achieve polarization insensitivity. Moreover, RUCs are conjugate matched with the rectifier circuit, and their dc outputs are connected in parallel to minimize insertion and combining losses, respectively. The RM offers wider coverage in the broadside direction, with a conversion efficiency of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${54}.{3}\%$ </tex-math></inline-formula> at <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$-{9}.{0123}$ </tex-math></inline-formula>-dBm input RF power. The proposed RM has four symmetric dc ports, enabling series and parallel dc combining of multiple RMs to achieve modular scalability. Thus, the polarization-insensitive RM is adaptable to a wide range of user requirements, making it a promising solution for low-power IoT sensor nodes.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-09-02
DOI
https://doi.org/10.1109/jsen.2024.3447151
Citations
6
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
1.25

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article

Adaptive Wireless Power Transfer Enabled IoT Sensor Nodes by a Polarization-Insensitive Scalable Planar Rectenna Module

Sundeep Kumar, Ashwani Sharma, Manoj Kumar, Suraj Kumar
6 citations
IEEE Sensors Journal
Energy Harvesting in Wireless Networks
1.25
article

Adaptive Wireless Power Transfer Enabled IoT Sensor Nodes by a Polarization-Insensitive Scalable Planar Rectenna Module

Sundeep Kumar, Ashwani Sharma, Manoj Kumar, Suraj Kumar
article en
6 citations

Abstract

Wireless power transfer (WPT) has emerged as a promising solution for recharging batteries in low-power Internet of Things (IoT) sensor nodes. However, implementing WPT-enabled sensor nodes poses a significant challenge due to the requirement of orientation-insensitive operation with a compact footprint and adaptive power requirements. To address these problems, this article proposes a novel compact polarization-insensitive rectenna module (RM) with scalable design feature to achieve adaptive RF power harvesting capabilities. The RM incorporates four sequentially rotated rectenna unit cells (RUCs) to achieve polarization insensitivity. Moreover, RUCs are conjugate matched with the rectifier circuit, and their dc outputs are connected in parallel to minimize insertion and combining losses, respectively. The RM offers wider coverage in the broadside direction, with a conversion efficiency of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">${54}.{3}\%$ </tex-math></inline-formula> at <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$-{9}.{0123}$ </tex-math></inline-formula>-dBm input RF power. The proposed RM has four symmetric dc ports, enabling series and parallel dc combining of multiple RMs to achieve modular scalability. Thus, the polarization-insensitive RM is adaptable to a wide range of user requirements, making it a promising solution for low-power IoT sensor nodes.

IEEE Sensors JournalVol. 24(20)
Indian Institute of Technology Ropar (IN)
Science and Engineering Research Board
Affordable and clean energy
Openalex Percentile: Top 20%
Energy Harvesting in Wireless Networks
1.25
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