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Wireless Sensor Networks with Energy Harvesting

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

Deadline for manuscript submissions: 31 May 2025 | Viewed by 843

Special Issue Editors


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Guest Editor
1. Laboratory of Electromechanical Systems, National Engineering School of Sfax, Sfax 3038, Tunisia
2. Measurement and Sensor Technology, Technische Universität Chemnitz, 09126 Chemnitz, Germany
Interests: energy harvesting; vibration converters; piezoelectric transducers; magnetoelectric converters; electromagnetic converters; autonomous sensor systems
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Special Issue Information

Dear Colleagues,

The integration of energy harvesting technologies with wireless sensors represents a groundbreaking advancement in the field of sensor technology. This Special Issue will explore the latest developments and applications of wireless sensors that utilize energy harvesting techniques to achieve sustainable and autonomous monitoring solutions. By harnessing ambient energy sources such as solar, thermal, and mechanical energy, these sensors can operate independently without the need for frequent battery replacements, making them ideal for use in remote and inaccessible environments. The focus of this Special Issue aligns with the scope of the Sensors journal by addressing innovative sensor design, deployment strategies, and the enhancement of sensor networks’ sustainability and efficiency. We invite contributions that cover theoretical, experimental, and practical aspects, showcasing the potential of energy harvesting wireless sensors in various applications such as environmental monitoring, industrial automation, healthcare, and smart cities.

Dr. Slim Naifar
Prof. Dr. Olfa Kanoun
Guest Editors

Manuscript Submission Information

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Keywords

  • energy harvesting
  • wireless sensors
  • autonomous sensor systems
  • renewable energy sources
  • environmental sensing
  • industrial automation

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Published Papers (1 paper)

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Research

25 pages, 15247 KiB  
Article
Modeling and Optimization of Energy Harvesters for Specific Applications Using COMSOL and Equivalent Spring Models
by Tharun Reddy Kandukuri, Caizhi Liao and Luigi G. Occhipinti
Sensors 2024, 24(23), 7509; https://doi.org/10.3390/s24237509 - 25 Nov 2024
Viewed by 581
Abstract
Energy harvesting from natural sources, including bodily movements, vehicle engine vibrations, and ocean waves, poses challenges due to the broad range of frequency bands involved. Piezoelectric materials are frequently used in energy harvesters, although their effectiveness depends on aligning the device’s natural frequency [...] Read more.
Energy harvesting from natural sources, including bodily movements, vehicle engine vibrations, and ocean waves, poses challenges due to the broad range of frequency bands involved. Piezoelectric materials are frequently used in energy harvesters, although their effectiveness depends on aligning the device’s natural frequency with the frequency of the target energy source. This study models energy harvesters customized for specific applications by adjusting their natural frequencies to match the required bandwidth. We evaluate commercially available piezoelectric transducers and model them using COMSOL Multiphysics alongside an equivalent spring-mass schematic approach, enabling precise adjustments to optimize energy capture. The proposed system achieves a maximum power output of 160 µW and a power density of 187.35 µW/cm3 at a natural frequency of 65 Hz. Furthermore, the theoretical maximum power density is calculated as 692.97 W/m3, demonstrating the system’s potential for high energy efficiency under optimal conditions. Simulations are validated against experimental data to ensure accuracy. Our findings provide a design framework for optimizing energy harvester performance across diverse energy sources, leading to more efficient and application-specific devices for varied environmental conditions. Full article
(This article belongs to the Special Issue Wireless Sensor Networks with Energy Harvesting)
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