Next Generation Blockchain, Information Security and Soft Computing for Future IoT Networks

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Internet of Things (IoT) and Industrial IoT".

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1864

Special Issue Editor

Special Issue Information

Dear Colleagues,

The integration of next generation computing technologies has revolutionized the concept of future IoT networks. The IoT can be deployed in various sectors, including home automation, smart cities, supply chain management, healthcare, agriculture, traffic management, resource management, smart grids, smart watches, elderly care, and businesses and startups. Next generation blockchain technologies offer decentralized, enhanced transparency and trust in IoT networks. Merging blockchain with the IoT, data security and privacy will easily mitigate associated risks.  More interestingly, soft computing techniques, such as fuzzy logic, neural networks, evolutionary computing, genetic algorithm, particle swarm optimization, ant colony optimization and computational intelligence, will enable an adaptive and intelligent decision-making process within IoT networks. With the help of soft computing, IoT systems will improve the changing conditions, optimize resource allocation and enhance overall IoT network efficiency.

This Special Issue will cover all topics of blockchain, information security, soft computing, the Internet of Everything, big data for IoT networks, IoT-enabled unmanned aerial vehicles, software define networks, swarm intelligence, AI/ML/DL for IoT networks, NLP, 6G, Federated Learning and computer vision applications.

This Special Issue topics of interest include, but are not limited to, the following:

  • Internet of Things
  • MANET, VANET, FANET, SANET and wireless ad hoc networks
  • Underwater and underground networks
  • Personal area networks, home area networks
  • Routing protocols
  • Security and privacy
  • Machine/Deep Learning for ad hoc networks
  • Blockchain technology
  • Industrial Internet of Things
  • Artificial Intelligence
  • Software Define Networks
  • Fog/Cloud/Edge Computing
  • Aerial Ad Hoc Networks/Flying ad hoc networks
  • Applications of ad hoc networks
  • Optimization techniques
  • AI based secure communication
  • Intrusion detection system
  • Trustworthy IoT-enabled computation
  • Cellular Networks
  • 5G/6G for ad hoc networks
  • Energy efficient communication for ad hoc networks 
  • Mobility models for ad hoc networks
  • Heuristic computations
  • Network security for cognitive networks
  • Reinforcement learning for ad hoc networks
  • Clustering algorithms
  • Big data
  • Fake node detection in networks
  • Federated Learning in communication networks 

You may choose our Joint Special Issue in Blockchains.

Dr. Hamed Taherdoost
Guest Editor

Manuscript Submission Information

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Keywords

  • blockchain
  • information security
  • soft computing
  • IoT
  • AI
  • UAVs
  • NLP

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Published Papers (3 papers)

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Research

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18 pages, 5531 KiB  
Article
Enhancing Solar Power Efficiency: Smart Metering and ANN-Based Production Forecasting
by Younes Ledmaoui, Asmaa El Fahli, Adila El Maghraoui, Abderahmane Hamdouchi, Mohamed El Aroussi, Rachid Saadane and Ahmed Chebak
Computers 2024, 13(9), 235; https://doi.org/10.3390/computers13090235 - 17 Sep 2024
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Abstract
This paper presents a comprehensive and comparative study of solar energy forecasting in Morocco, utilizing four machine learning algorithms: Extreme Gradient Boosting (XGBoost), Gradient Boosting Machine (GBM), recurrent neural networks (RNNs), and artificial neural networks (ANNs). The study is conducted using a smart [...] Read more.
This paper presents a comprehensive and comparative study of solar energy forecasting in Morocco, utilizing four machine learning algorithms: Extreme Gradient Boosting (XGBoost), Gradient Boosting Machine (GBM), recurrent neural networks (RNNs), and artificial neural networks (ANNs). The study is conducted using a smart metering device designed for a photovoltaic system at an industrial site in Benguerir, Morocco. The smart metering device collects energy usage data from a submeter and transmits it to the cloud via an ESP-32 card, enhancing monitoring, efficiency, and energy utilization. Our methodology includes an analysis of solar resources, considering factors such as location, temperature, and irradiance levels, with PVSYST simulation software version 7.2, employed to evaluate system performance under varying conditions. Additionally, a data logger is developed to monitor solar panel energy production, securely storing data in the cloud while accurately measuring key parameters and transmitting them using reliable communication protocols. An intuitive web interface is also created for data visualization and analysis. The research demonstrates a holistic approach to smart metering devices for photovoltaic systems, contributing to sustainable energy utilization, smart grid development, and environmental conservation in Morocco. The performance analysis indicates that ANNs are the most effective predictive model for solar energy forecasting in similar scenarios, demonstrating the lowest RMSE and MAE values, along with the highest R2 value. Full article
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12 pages, 3959 KiB  
Article
An Efficient QC-LDPC Decoder Architecture for 5G-NR Wireless Communication Standards Targeting FPGA
by Bilal Mejmaa, Malika Alami Marktani, Ismail Akharraz and Abdelaziz Ahaitouf
Computers 2024, 13(8), 195; https://doi.org/10.3390/computers13080195 - 14 Aug 2024
Viewed by 688
Abstract
This novel research introduces a game-changing architecture design for Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) decoders in Fifth-Generation New-Radio (5G-NR) wireless communications, specifically designed to meet precise specifications and leveraging the layered Min-Sum (MS) algorithm. Our innovative approach presents a fully parallel architecture that is [...] Read more.
This novel research introduces a game-changing architecture design for Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) decoders in Fifth-Generation New-Radio (5G-NR) wireless communications, specifically designed to meet precise specifications and leveraging the layered Min-Sum (MS) algorithm. Our innovative approach presents a fully parallel architecture that is precisely engineered to cater to the demanding high-throughput requirements of enhanced Mobile Broadband (eMBB) applications. To ensure smooth computation in the MS algorithm, we use the Sub-Optimal Low-Latency (SOLL) technique to optimize the critical check node process. Thus, our design has the potential to greatly benefit certain Ultra-Reliable Low-Latency Communications (URLLC) scenarios. We conducted precise Bit Error Rate (BER) performance analysis on our LDPC decoder using a Hardware Description Language (HDL) Co-Simulation (MATLAB/Simulink/ModelSim) for two codeword rates (2/3 and 1/3), simulating the challenging Additive White Gaussian Noise (AWGN) channel environment. Full article
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Review

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30 pages, 5636 KiB  
Review
A Survey of Blockchain Applicability, Challenges, and Key Threats
by Catalin Daniel Morar and Daniela Elena Popescu
Computers 2024, 13(9), 223; https://doi.org/10.3390/computers13090223 - 6 Sep 2024
Viewed by 642
Abstract
With its decentralized, immutable, and consensus-based validation features, blockchain technology has grown from early financial applications to a variety of different sectors. This paper aims to outline various applications of the blockchain, and systematically identify general challenges and key threats regarding its adoption. [...] Read more.
With its decentralized, immutable, and consensus-based validation features, blockchain technology has grown from early financial applications to a variety of different sectors. This paper aims to outline various applications of the blockchain, and systematically identify general challenges and key threats regarding its adoption. The challenges are organized into even broader groups, to allow a clear overview and identification of interconnected issues. Potential solutions are introduced into the discussion, addressing their possible ways of mitigating these challenges and their forward-looking effects in fostering the adoption of blockchain technology. The paper also highlights some potential directions for future research that may overcome these challenges to unlock further applications. More generally, the article attempts to describe the potential transformational implications of blockchain technology, through the manner in which it may contribute to the advancement of a diversity of industries. Full article
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