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Energy Harvesting Self-Powered Sensing and Smart Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 10 October 2026 | Viewed by 2309

Special Issue Editor

Department of Engineering Mechanics, Northwestern Polytechnical University, Xi'an 710072, China
Interests: nonlinear dynamics; vibration isolation; vibration energy harvesting; bio-inspired design
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rise of Internet of Things technology, smart monitoring networks play an increasingly important role in engineering and daily life. Self-powered sensors combined with energy harvesters provide reliable solutions for smart monitoring. Therefore, this Special Issue focuses on "Energy Harvesting Self-Powered Sensing and Smart Monitoring", aiming to gather cutting-edge research in this field, covering a wide range of topics from energy harvesting technologies to smart monitoring systems. It is committed to promoting the deep integration of energy harvesting and sensing monitoring technologies and contributing to constructing a sustainable and smart monitoring network.

Possible topics include but are not limited to:

  • Multi-source energy harvesting;
  • Piezoelectric/friction/electromagnetic energy harvesters;
  • Self-powered sensors based on triboelectric nanogenerators;
  • Energy harvesters applied to structural health monitoring;
  • Self-powered sensors applied to smart agriculture;
  • Self-powered sensors applied to smart transportation;
  • Self-powered sensors applied to aerospace;
  • Energy harvesters applied to human health monitoring;
  • Integration of energy harvesting, sensing, and monitoring.

Dr. Tao Yang
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • energy harvesting
  • self-powered sensing
  • smart monitoring
  • sensor technology
  • sustainable energy

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Published Papers (2 papers)

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Research

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25 pages, 6379 KB  
Article
A Wireless Sensor Platform for Beehive Monitoring
by Sudipta Das Gupta, Jeffrey Erickson, Joseph Rinehart, Benjamin D. Braaten and Sulaymon Eshkabilov
Sensors 2026, 26(6), 1846; https://doi.org/10.3390/s26061846 - 15 Mar 2026
Viewed by 1187
Abstract
Honey bees are very important to the ecological environment and human society, contributing significantly to biodiversity and global food security, with an estimated annual impact of $15 billion in crop pollination in the USA. Over 62% of honey bee colony decline has been [...] Read more.
Honey bees are very important to the ecological environment and human society, contributing significantly to biodiversity and global food security, with an estimated annual impact of $15 billion in crop pollination in the USA. Over 62% of honey bee colony decline has been observed between June 2024 and February 2025. This study investigates bee stress level monitoring due to external disturbances like mechanical vibrations by measuring internal air temperature, relative humidity, and CO2 gas concentration levels of beehives. A new wireless sensor board for real-time monitoring of honey bee colonies was designed, built, and validated. The board incorporates NDIR-based SCD30 and SCD41 sensors for CO2, temperature, and humidity monitoring, integrated with a custom-designed two-layer printed circuit board and a Particle ArgonTM microprocessor for Wi-Fi communication. The developed board was tested and validated with live beehives in summer and winter of 2024 and 2025. The experimental study results showed the adequacy of the built sensor board. Bee colony responses on the applied stimuli (knocks) show that bees responded with a temperature increase of over 5 °C, CO2 concentration increase by 3000 to over 10,000 ppm, and, at the same time, relative humidity drop by about 10% inside beehives. Full article
(This article belongs to the Special Issue Energy Harvesting Self-Powered Sensing and Smart Monitoring)
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Review

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32 pages, 5498 KB  
Review
Triboelectric Nanogenerators Promote Self-Powered Sensing and Intelligent Monitoring
by Yingxuan Cui, Tao Yang, Hongchun Luo and Yusheng Zheng
Sensors 2026, 26(10), 2984; https://doi.org/10.3390/s26102984 - 9 May 2026
Viewed by 620
Abstract
Against the backdrop of global energy structure decarbonization, distributed transformation, and the rapid development of low-power electronic devices and sensor networks, micro-energy supply and intelligent sensing have emerged as critical bottlenecks limiting their large-scale application. Triboelectric nanogenerators (TENGs), leveraging advantages such as compatibility [...] Read more.
Against the backdrop of global energy structure decarbonization, distributed transformation, and the rapid development of low-power electronic devices and sensor networks, micro-energy supply and intelligent sensing have emerged as critical bottlenecks limiting their large-scale application. Triboelectric nanogenerators (TENGs), leveraging advantages such as compatibility with diverse materials and adaptability to flexible and miniaturized fabrication, can efficiently harvest widely available low-frequency, low-amplitude distributed mechanical energy in the environment. Additionally, they exhibit self-powered sensing characteristics, where output signals are directly correlated with external physical quantities, demonstrating unique strengths in the fields of micro-/nano-energy and intelligent monitoring. This article systematically reviews the research progress in TENGs; elucidates their working modes and power generation principles; summarizes material design, structural optimization, and performance enhancement strategies for efficient energy harvesting; and outlines the current state of self-powered sensing technologies. It highlights their engineering applications in intelligent monitoring scenarios such as drones, marine environments, infrastructure, and wearable devices. Addressing the existing technical bottlenecks and theoretical challenges in integrated energy harvesting–sensing–monitoring systems, the paper envisions future trends toward high performance, integration, and intelligence, providing valuable insights for fundamental research on and engineering applications of TENGs in micro-energy supply and intelligent monitoring. Full article
(This article belongs to the Special Issue Energy Harvesting Self-Powered Sensing and Smart Monitoring)
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