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Advanced Wireless Communication Technologies and IoT Application for Smart Distribution System

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 3138

Special Issue Editor


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Guest Editor
College of Engineering and Science, Victoria University, Footscray, VIC 3011, Australia
Interests: machine learning; biomedical informatics; Internet of Things; smart technology and cybersecurity
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

There is a continuous movement from traditional distribution systems to Smart Distributions System (SDS) with a vision of achieving higher system reliability, resilience and self-healing capabilities. The modern distribution system is powered by the advancement of wireless communication technologies and wide use of IoT applications. Advanced communication network and IoT applications enable better visibility and produce meaningful data for a self-healing grid. There are a number of standards and communication protocols that currently support a strong grid that connects a large number of intelligent electronic devices such as smart meters, remote control switches and IEDs. Flexible data communication architecture and intelligent use of IoT applications can provide a solution to contemporary utility challenges such as efficiency, reliability and resiliency.  

The goal of this Special Issue is to disseminate the recent theoretical and practical results in advanced wireless communication and IoT applications that enable the SDS. Review papers on these topics are also welcome.

Potential topics include, but are not limited to, the following:

  • Communication protocol;
  • Energy harvesting;
  • Multipoint-to-point wireless communication systems;
  • Multipoint-to-multipoint wireless communication systems;
  • Centralized and/or distributed scheduling;
  • Data visibility;
  • Application of machine learning;
  • IoT applications;
  • Principles and practices of cyber security;
  • Customers’ data privacy

Dr. KHANDAKAR AHMED
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. 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

  • Data visibility
  • Self-healing
  • Cyber security
  • Data privacy
  • Energy harvesting
  • Scheduling
  • Optimizations
  • Sensor node

Published Papers (2 papers)

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Research

21 pages, 2096 KiB  
Article
Hybrid-Domain Evaluation PTS with Adaptive Selection Methods for PAPR Reduction
by Feng Hu, Yuan Lu, Libiao Jin, Jianbo Liu, Zhiping Xia, Guoting Zhang and Jingting Xiao
Energies 2022, 15(8), 2738; https://doi.org/10.3390/en15082738 - 08 Apr 2022
Cited by 1 | Viewed by 1133
Abstract
The partial transmit sequence (PTS) technique is a fairly suitable scheme to mitigate the high peak-to-average power ratio (PAPR) problem inherent in 5G multicarrier systems, especially considering a high-order QAM modulation design. However, the high computational complexity level and the speed of the [...] Read more.
The partial transmit sequence (PTS) technique is a fairly suitable scheme to mitigate the high peak-to-average power ratio (PAPR) problem inherent in 5G multicarrier systems, especially considering a high-order QAM modulation design. However, the high computational complexity level and the speed of the convergence for optimizing the phases of the transmitting signal restrict this technique in practical applications. In this paper, a low-complexity frequency-domain-evaluated PTS (F-PTS) based on a spacing multiobjective (SMO) processing algorithm is proposed to reduce the PAPR values. The PAPR performance are accurately predicted in terms of modifying relative dispersion in the frequency domain. As a result, the complexity of searching the optimal phase factors and IFFT computing is simplified. Moreover, a frequency-domain- and time-domain-evaluating PTS (FTD-PTS) is employed to search the optimal solution with a reasonable complexity. Simulation results verify that the operation rate of F-PTS is significantly improved after transferring the exhaustive search strategy of PTS into the SMO algorithm, and the F-PTS PAPR reduction performance is just 0.3 dB away from theoretical optimal performance. The FTD-PTS spends an acceptable operation rate to obtain optimal PAPR reduction performance, which subtracts 0.5 and 0.6 dB more than PSO-PTS and conventional PTS at CCDF=103, respectively. Full article
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19 pages, 1230 KiB  
Article
Hybrid Energy Efficiency Friendly Frequency Domain TR Algorithm Based on PSO Algorithm Evaluated by Novel Maximizing HPA Efficiency Evaluation Criteria
by Feng Hu, Yuan Lu, Libiao Jin, Jianbo Liu, Zhiping Xia, Guoting Zhang and Jingting Xiao
Energies 2022, 15(3), 917; https://doi.org/10.3390/en15030917 - 27 Jan 2022
Cited by 2 | Viewed by 1102
Abstract
Smart Grids (SGs) expedite secure, large-scale and efficient two-way communication between the power supply and management, but under a sophisticated 5G communication infrastructure, the multi carrier system is the principle system. The high peak-to-average power ratio (PAPR) is one of the significant limitations [...] Read more.
Smart Grids (SGs) expedite secure, large-scale and efficient two-way communication between the power supply and management, but under a sophisticated 5G communication infrastructure, the multi carrier system is the principle system. The high peak-to-average power ratio (PAPR) is one of the significant limitations of the 5G multi carrier (MC) system, as it impedes the efficient design of the 5G analogue front end. Tone reservation (TR) is a highly efficient scheme without signal distortion, which is designed by increasing the freedom in the frequency domain for PAPR reduction. In this paper, a particle swarm optimization (PSO) based TR (PSO-TR) scheme proceeding with an optimal input power back off-modulation error ratio (IBO-MER) convergence criterion is proposed to improve high power amplifier (HPA) efficiency for OFDM systems. A probabilistic analysis of TR predistribution and freedom in the frequency domain, in relationship with the amplitude of its constituent samples, is carried out. This yields the theoretical framework employed in design of the proposed high computing-enhanced solutions. The proposed PSO-TR essentially make the frequency domain distribution and operation itself adaptive, that is, it adjusts to comply with the changing HPA efficiency and redundant cost during application runtime. Full article
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