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IoT and Sustainability

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 10 July 2024 | Viewed by 1882

Special Issue Editor


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Guest Editor
Department of Computer Engineering, Daejeon University, Daejeon 34520, Republic of Korea
Interests: 5G; smart grid; off-grid; IoT; distributed energy resources; smart buildings; resource allocation; energy distribution; demand response; optimization; game theory; machine learning; artificial intelligence; blockchain
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Internet of Things (IoTs) have experienced to enable communications among non-network equipment as well as between network equipment and others (e.g. facilities). Though low power equipment, small devices have the potentiality connecting any devices freely. Specially, the use of sustainable IoTs and renewable energy source for green network should be spread against overcoming climate crisis. Recently, the demand of electronic vehicle has increased dramatically. This electricity should be generated from clean energy sources. Accordingly, factories, smart buildings, and cloud centers with huge, dense network equipment may be considered to be built with being powered from IoT based green energy resources. At future all of the data relating to energy and sensing can be optimized for efficient resource allocation and then may provide an opportunity of new business integrating with fields out of communications. The special issue's goal is to gather novel contributions from researchers and engineers belonging to academics and industry in the domain of IoT and sustainability, including smart grid. Authors can propose promising research manuscripts based on analytic tools, simulations, and prototypes relating to the following topics.

  • Energy Storage System
  • Electric Vehicle Charging
  • Energy Harvesting
  • Power Generation Uncertainty
  • Internet of Things
  • 5G
  • Demand Response
  • Lighting System
  • Climate Crisis

Dr. Seung Hyun Jeon
Guest Editor

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. Sustainability 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 2400 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

  • artificial intelligence
  • machine learning
  • blockchain
  • optimization
  • game theory
  • off-grid
  • energy trading
  • energy forecasting
  • distributed energy resources
  • electric vehicle
  • EV charging
  • demand response
  • dynamic pricing
  • energy distribution
  • smart buildings
  • lighting control
  • anomaly detection
  • climate change

Published Papers (1 paper)

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Research

27 pages, 1162 KiB  
Article
Power and Frequency Band Allocation Mechanisms for WPT System with Logarithmic-Based Nonlinear Energy Harvesting Model
by Jaeseob Han, Seung-Hyun Jeon, Gyeong-Ho Lee, Sangdon Park and Jun-Kyun Choi
Sustainability 2023, 15(13), 10567; https://doi.org/10.3390/su151310567 - 5 Jul 2023
Viewed by 1123
Abstract
Wireless power transmission (WPT) is expected to play a crucial role in supporting the perpetual operations of Internet of Things (IoT) devices, thereby contributing significantly to IoT services. However, the development of efficient power allocation algorithms has remained a longstanding challenge. This paper [...] Read more.
Wireless power transmission (WPT) is expected to play a crucial role in supporting the perpetual operations of Internet of Things (IoT) devices, thereby contributing significantly to IoT services. However, the development of efficient power allocation algorithms has remained a longstanding challenge. This paper addresses the aforementioned challenge by proposing a novel strategy, called energy poverty-based device selection (EPDS), in conjunction with energy beamforming, where orthogonal frequency bands are allocated to energy harvesting IoT devices (EHIs). To solve two power allocation problems, a logarithmic-based nonlinear energy harvesting model (NEHM) is introduced. The first problem tackled is the total received power maximization (TRPM), which is initially presented and, then, solved optimally in closed-form by incorporating Karush–Kuhn–Tucker (KKT) conditions with the modified water-filling algorithm. The second problem formulated is the common received power maximization (CRPM), which takes into account energy fairness considerations. To assess the proposed algorithms and gain insights into the effects of mobility, the mobility of EHIs is modeled as a one-dimensional random walk. Extensive numerical results are provided to validate the advantages of the proposed algorithms. Both the TRPM and CRPM algorithms exhibit exceptional performance in terms of total and minimum received energy, respectively. Furthermore, in comparison to round-robin scheduling, the EPDS demonstrates superior performance in terms of minimum received energy. This paper highlights the impact of the proposed energy harvesting (EH) model, demonstrating 12.68% and 3.69% higher values than the linear model for the minimum and total received energy, respectively. Full article
(This article belongs to the Special Issue IoT and Sustainability)
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