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Energy Harvesting Technologies for IoT Systems
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Energy Harvesting Technologies for IoT Systems

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

Deadline for manuscript submissions: closed (20 October 2023) | Viewed by 1473

Special Issue Editors

Dr. Yongmin Zhang

E-Mail Website
Guest Editor
School of Computer Science and Engineering, Central South University, Changsha, China
Interests: mobile computing; smart grid; Internet of Things
Dr. Guangsheng Feng

E-Mail Website
Guest Editor
School of Computer Science and Technology, Harbin Engineering University, Harbin, China
Interests: IoTs; edge computing; mobile computing
Dr. Xiaolong Lan

E-Mail Website
Guest Editor
School of Cyber Science and Engineering, Sichuan University, Chengdu, China
Interests: wireless communication; network security; mobile edge computing
Dr. Yuanzhi Ni

E-Mail Website
Guest Editor
School of Internet of Things Engineering, Jiangnan University, Wuxi, China
Interests: Internet of Things; wireless network; mobile computing

Special Issue Information

Dear Colleagues,

In recent years, we have witnessed the advent and rise of the Internet of Things (IoT) due to its advantages of connecting machines and systems together via sensors and collecting real-time information. Based on information provided by the IoT system, businesses can further optimize their workflows and lower their operating costs. Various IoT systems have flourished in many application domains, such as smart homes, smart buildings, Industry 4.0, smart cities, smart grids, etc. With the popularization of IoT systems, the energy supply for IoT devices becomes an increasingly prominent challenge. Compared with traditional battery power supply, energy harvesting technology can gather energy (sunlight, wind, radiofrequency, vibration, geothermal, tidal, etc.) from the ambient surroundings to obtain electric power and maintain the operation of IoT systems. In such a way, energy-harvesting-based IoT systems can be self-powered and avoid high costs for battery replacement. However, different energy harvesting technologies work based on different principles and have different application requirements and energy-conversion efficiencies. To further explore the characteristics of energy harvesting technologies for IoT systems, this Special Issue seeks to showcase research papers and review articles focused on emerging energy harvesting technologies, IoT systems with energy harvesting technologies, new energy harvesting and management algorithms, and emerging IoT applications.

The topics include but are not limited to:

  • Energy harvesting systems for IoTs.
  • Energy harvesting technologies for IoTs, i.e., radiofrequency (RF)/solar/wind/vibration/geothermal/tidal energy.
  • New emerging energy harvesting technologies and their applications.
  • Resource management/scheduling for energy harvesting system.
  • Emerging IoT applications with energy harvesting technologies.

Dr. Yongmin Zhang
Dr. Guangsheng Feng
Dr. Xiaolong Lan
Dr. Yuanzhi Ni
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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.

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Published Papers (1 paper)

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Research

16 pages, 2359 KiB  
Article
Research on Energy Harvesting Mechanism and Low Power Technology in Wireless Sensor Networks
by Weimin Chen, Feng Tang, Fang Cui and Chen Chen
Sensors 2024, 24(1), 47; https://doi.org/10.3390/s24010047 - 21 Dec 2023
Cited by 1 | Viewed by 1113
Abstract
Wireless sensor networks (WSNs) are widely used in various fields such as military, industrial, and transportation for real-time monitoring, sensing, and data collection of different environments or objects. However, the development of WSNs is hindered by several limitations, including energy, storage space, computing [...] Read more.
Wireless sensor networks (WSNs) are widely used in various fields such as military, industrial, and transportation for real-time monitoring, sensing, and data collection of different environments or objects. However, the development of WSNs is hindered by several limitations, including energy, storage space, computing power, and data transmission rate. Among these, the availability of power energy plays a crucial role as it directly determines the lifespan of WSN. To extend the life cycle of WSN, two key approaches are power supply improvement and energy conservation. Therefore, we propose an energy harvesting system and a low-energy-consumption mechanism for WSNs. Firstly, we delved into the energy harvesting technology of WSNs, explored the utilization of solar energy and mechanical vibration energy to ensure a continuous and dependable power supply to the sensor nodes, and analyzed the voltage output characteristics of bistable piezoelectric cantilever. Secondly, we proposed a neighbor discovery mechanism that utilizes a separation beacon, is based on reply to ACK, and can facilitate the identification of neighboring nodes. This mechanism operates at a certain duty cycle ratio, significantly reduces idle listening time and results in substantial energy savings. In comparison to the Disco and U-connect protocols, our proposed mechanism achieved a remarkable reduction of 66.67% and 75% in the worst discovery delay, respectively. Furthermore, we introduced a data fusion mechanism based on integer wavelet transform. This mechanism effectively eliminates data redundancy caused by spatiotemporal correlation, resulting in a data compression rate of 5.42. Additionally, it significantly reduces energy consumption associated with data transmission by the nodes. Full article
(This article belongs to the Special Issue Energy Harvesting Technologies for IoT Systems)
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