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IoT and Sensor Network Applications for Energy Management and Efficiency

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "K: State-of-the-Art Energy Related Technologies".

Deadline for manuscript submissions: 15 April 2025 | Viewed by 1189

Special Issue Editors


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Guest Editor
1. CMEMS—UMinho, University of Minho, 4800-058 Guimarães, Portugal
2. LABBELS—Associate Laboratory, University of Minho, 4710-057 Braga, Portugal
3. Department of Industrial Electronics, University of Minho, Campus of Azurém, 4800-058 Guimarães, Portugal
Interests: internet of things; wireless sensor networks; body sensor network; mobile phone sensing; quality of service; medium access control
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Centro ALGORITMI, University of Minho, 4804-533 Guimarães, Portugal
2. Department of Industrial Electronics, University of Minho, 4804-533 Guimarães, Portugal
Interests: software design and reuse; middleware frameworks; object-oriented techniques; reusability; mobile applications; monitoring and automation systems; embedded systems based on microcontrollers
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Electrical Engineering (SEL), São Carlos School of Engineering (EESC), University of São Paulo (USP), São Carlos 13566-590, Brazil
Interests: analog and digital integrated circuits; micromachining and micro/nanofabrication technologies for mixed-mode/RF systems; solid-state integrated sensors; microactuators and microsystems; micro/nanodevices for industrial and biomedical applications; wireless systems for sensors and actuators; optical sensors and actuators; material technology for microsystems; microprocessor/microcomputer-based instrumentation and data-acquisition systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The global demand for energy-efficient solutions is ever-growing as the world faces the challenges of energy conservation and environmental sustainability. This Special Issue focuses on the application of Internet of Things (IoT) systems and wireless sensor networks (WSNs) as transformative tools to enhance energy efficiency across multiple domains, including residential and commercial buildings, industrial facilities, smart grids, agriculture and livestock farming, and smart cities. We aim to showcase the latest advancements in technology that integrate seamlessly into everyday environments and contribute to managing and reducing the consumption of electricity, fossil fuels, and other energy sources. By harnessing the capabilities of the IoT and WSNs, this Special Issue seeks to highlight innovative strategies that optimize energy usage, integrate renewable energy sources, and improve overall operational efficiency. We welcome contributions that explore and advance the field of energy conservation through cutting-edge research, novel methodologies and algorithms, smart sensors and devices, real-world testbeds and case studies, and comprehensive reviews. The topics of interest for publication include, but are not limited to, the following:

  • Energy management systems for smart environments;
  • Energy consumption optimization using WSNs and the IoT;
  • Integration of renewable energy sources with IoT technologies;
  • Data analytics and machine learning for energy efficiency in smart environments;
  • IoT frameworks for energy management and conservation across different environments;
  • Implementations of sensor networks for real-time energy monitoring and control;
  • Innovative case studies on the IoT's impact on reducing carbon footprints;
  • Green IoT strategies and applications.

Prof. Dr. José A. Afonso
Dr. Sérgio F. Lopes
Prof. Dr. João Paulo Pereira do Carmo
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. Energies 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

  • Internet of Things
  • wireless sensor networks
  • energy efficiency
  • energy management
  • green IoT
  • smart environments
  • smart devices

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Published Papers (1 paper)

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Research

21 pages, 4778 KiB  
Article
Joint Deployment of Sensors and Chargers in Wireless Rechargeable Sensor Networks
by Jie Lian and Haiqing Yao
Energies 2024, 17(13), 3130; https://doi.org/10.3390/en17133130 - 25 Jun 2024
Viewed by 845
Abstract
As a promising technology to achieve the permanent operation of battery-powered wireless sensor devices, wireless rechargeable sensor networks (WRSNs) by radio-frequency radiation have attracted considerable attention in recent years. Determining how to save the deployment cost of WRSNs has been a hot topic. [...] Read more.
As a promising technology to achieve the permanent operation of battery-powered wireless sensor devices, wireless rechargeable sensor networks (WRSNs) by radio-frequency radiation have attracted considerable attention in recent years. Determining how to save the deployment cost of WRSNs has been a hot topic. Previous scholars have mainly studied the cost of deploying chargers, thus ignoring the impact of sensor deployment on the network. Therefore, we consider the new problem of joint deployment of sensors and chargers on a two-dimensional plane, i.e., deploying the minimum number of sensors and chargers used to monitor points of interest (PoIs). Considering the interaction of deployed sensors and chargers, we divide the problem into two stages, P1 and P2. P1 addresses the sensor deployment, while P2 addresses the deployment of chargers. Both P1 and P2 have proved to be NP-hard. Meanwhile, we notice that the aggregation effect of sensors can effectively reduce the number of chargers deployed; therefore, we propose a greedy heuristic approximate solution for deploying sensors by using the aggregation effect (GHDSAE). Then, a greedy heuristic (GH) solution and a particle swarm optimization (PSO) solution are proposed for P2. The time complexity of these solutions is analyzed. Finally, extensive simulation results show that the PSO solution can always reduce the number of chargers deployed based on the GHDSAE solution sensor deployment approach. Therefore, it is more cost-effective to jointly deploy sensors and chargers by using the GHDSAE solution and the PSO solution. Full article
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