System Development & Application
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 1
209-217,222

Efficient power management for passive IoT sensor nodes

Zhang Chong
Hou Mengshu
Lu Li
School of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China
DOI: 10.19734/j.issn.1001-3695.2022.06.0300

Abstract

Energy management ensures the robust operation of passive sensor nodes in the presence of unstable ambient power supply. However, it also imposes extra computational loads, leading to a reduction in power efficiency. To resolve this issue, this paper explored the energy theory of passive nodes and proposed a novel "edge-to-end" integration scheme for power management that requires no local computing. This paper first simplified the complexity of energy management on passive nodes(end) by decoupling the high-overhead fine-grained energy planning to the gateway(edge). Then it designed a novel sampling-less sensing circuit and computing-free decision circuit, which solved the two key technical challenges of power state sensing and decision-making without the assistance of local computing. To this end, the computing unit on the node no longer needs to carry the "additional task" of energy management, thereby avoiding the high overheads of conventional works in principle. In addition, this paper established a task overhead model to dynamically match the power supply for the requirements of various tasks. Finally, this paper implemented the prototype and conducted comprehensive evaluations through scenario testing. The results indicate that the paper reduces 92% overhead in power management compared with four reference methods, and can respond flexibly to the variation of ambient energy harvesting, demonstrating the efficacy of this paper.

Foundation Support

国家自然科学基金资助项目(61872061)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.06.0300
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 1
Section: System Development & Application
Pages: 209-217,222
Serial Number: 1001-3695(2023)01-034-0209-09

Publish History

[2022-08-23] Accepted Paper
[2023-01-05] Printed Article

Cite This Article

张翀, 侯孟书, 鲁力. 无源节点能量管理关键技术 [J]. 计算机应用研究, 2023, 40 (1): 209-217,222. (Zhang Chong, Hou Mengshu, Lu Li. Efficient power management for passive IoT sensor nodes [J]. Application Research of Computers, 2023, 40 (1): 209-217,222. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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