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  • Open Access

    REVIEW

    Economic Power Dispatching from Distributed Generations: Review of Optimization Techniques

    Paramjeet Kaur1, Krishna Teerth Chaturvedi1, Mohan Lal Kolhe2,*

    Energy Engineering, Vol.121, No.3, pp. 557-579, 2024, DOI:10.32604/ee.2024.043159

    Abstract In the increasingly decentralized energy environment, economical power dispatching from distributed generations (DGs) is crucial to minimizing operating costs, optimizing resource utilization, and guaranteeing a consistent and sustainable supply of electricity. A comprehensive review of optimization techniques for economic power dispatching from distributed generations is imperative to identify the most effective strategies for minimizing operational costs while maintaining grid stability and sustainability. The choice of optimization technique for economic power dispatching from DGs depends on a number of factors, such as the size and complexity of the power system, the availability of computational resources, and the specific requirements of the… More >

  • Open Access

    ARTICLE

    On Designs of Decentralized Reputation Management for Permissioned Blockchain Networks

    Jinyu Chen1, Long Shi1,*, Qisheng Huang2, Taotao Wang3, Daojing He4

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.2, pp. 1755-1773, 2024, DOI:10.32604/cmes.2023.046826

    Abstract In permissioned blockchain networks, the Proof of Authority (PoA) consensus, which uses the election of authorized nodes to validate transactions and blocks, has been widely advocated thanks to its high transaction throughput and fault tolerance. However, PoA suffers from the drawback of centralization dominated by a limited number of authorized nodes and the lack of anonymity due to the round-robin block proposal mechanism. As a result, traditional PoA is vulnerable to a single point of failure that compromises the security of the blockchain network. To address these issues, we propose a novel decentralized reputation management mechanism for permissioned blockchain networks… More > Graphic Abstract

    On Designs of Decentralized Reputation Management for Permissioned Blockchain Networks

  • Open Access

    REVIEW

    A Review on the Security of the Ethereum-Based DeFi Ecosystem

    Yue Xue1, Dunqiu Fan2, Shen Su1,3,*, Jialu Fu1, Ning Hu1, Wenmao Liu2, Zhihong Tian1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.139, No.1, pp. 69-101, 2024, DOI:10.32604/cmes.2023.031488

    Abstract Decentralized finance (DeFi) is a general term for a series of financial products and services. It is based on blockchain technology and has attracted people’s attention because of its open, transparent, and intermediary free. Among them, the DeFi ecosystem based on Ethereum-based blockchains attracts the most attention. However, the current decentralized financial system built on the Ethereum architecture has been exposed to many smart contract vulnerabilities during the last few years. Herein, we believe it is time to improve the understanding of the prevailing Ethereum-based DeFi ecosystem security issues. To that end, we investigate the Ethereum-based DeFi security issues: 1)… More >

  • Open Access

    ARTICLE

    Decentralized Heterogeneous Federal Distillation Learning Based on Blockchain

    Hong Zhu*, Lisha Gao, Yitian Sha, Nan Xiang, Yue Wu, Shuo Han

    CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3363-3377, 2023, DOI:10.32604/cmc.2023.040731

    Abstract Load forecasting is a crucial aspect of intelligent Virtual Power Plant (VPP) management and a means of balancing the relationship between distributed power grids and traditional power grids. However, due to the continuous emergence of power consumption peaks, the power supply quality of the power grid cannot be guaranteed. Therefore, an intelligent calculation method is required to effectively predict the load, enabling better power grid dispatching and ensuring the stable operation of the power grid. This paper proposes a decentralized heterogeneous federated distillation learning algorithm (DHFDL) to promote trusted federated learning (FL) between different federates in the blockchain. The algorithm… More >

  • Open Access

    ARTICLE

    Edge of Things Inspired Robust Intrusion Detection Framework for Scalable and Decentralized Applications

    Abdulaziz Aldribi1,2,*, Aman Singh2,3, Jose Breñosa3,4

    Computer Systems Science and Engineering, Vol.46, No.3, pp. 3865-3881, 2023, DOI:10.32604/csse.2023.037748

    Abstract Ubiquitous data monitoring and processing with minimal latency is one of the crucial challenges in real-time and scalable applications. Internet of Things (IoT), fog computing, edge computing, cloud computing, and the edge of things are the spine of all real-time and scalable applications. Conspicuously, this study proposed a novel framework for a real-time and scalable application that changes dynamically with time. In this study, IoT deployment is recommended for data acquisition. The Pre-Processing of data with local edge and fog nodes is implemented in this study. The threshold-oriented data classification method is deployed to improve the intrusion detection mechanism’s performance.… More >

  • Open Access

    ARTICLE

    COVID-19 Classification from X-Ray Images: An Approach to Implement Federated Learning on Decentralized Dataset

    Ali Akbar Siddique1, S. M. Umar Talha1, M. Aamir1, Abeer D. Algarni2, Naglaa F. Soliman2,*, Walid El-Shafai3,4

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3883-3901, 2023, DOI:10.32604/cmc.2023.037413

    Abstract The COVID-19 pandemic has devastated our daily lives, leaving horrific repercussions in its aftermath. Due to its rapid spread, it was quite difficult for medical personnel to diagnose it in such a big quantity. Patients who test positive for Covid-19 are diagnosed via a nasal PCR test. In comparison, polymerase chain reaction (PCR) findings take a few hours to a few days. The PCR test is expensive, although the government may bear expenses in certain places. Furthermore, subsets of the population resist invasive testing like swabs. Therefore, chest X-rays or Computerized Vomography (CT) scans are preferred in most cases, and… More >

  • Open Access

    ARTICLE

    Blockchain-Based Decentralized Authentication Model for IoT-Based E-Learning and Educational Environments

    Osama A. Khashan1,*, Sultan Alamri2, Waleed Alomoush3, Mutasem K. Alsmadi4, Samer Atawneh2, Usama Mir5

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 3133-3158, 2023, DOI:10.32604/cmc.2023.036217

    Abstract In recent times, technology has advanced significantly and is currently being integrated into educational environments to facilitate distance learning and interaction between learners. Integrating the Internet of Things (IoT) into education can facilitate the teaching and learning process and expand the context in which students learn. Nevertheless, learning data is very sensitive and must be protected when transmitted over the network or stored in data centers. Moreover, the identity and the authenticity of interacting students, instructors, and staff need to be verified to mitigate the impact of attacks. However, most of the current security and authentication schemes are centralized, relying… More >

  • Open Access

    ARTICLE

    Management of Peak Loads in an Emerging Electricity Market

    Edwin N. Mbinkar1,*, Derek Ajesam Asoh1,2,3, Jerome Ndam Mungwe3, Livinus Songyuh4, Emmanuel Lamfu5

    Energy Engineering, Vol.119, No.6, pp. 2637-2654, 2022, DOI:10.32604/ee.2022.023419

    Abstract An electricity market is a trading platform provided by the actors in the electricity sector to sell and buy electricity while maintaining the stability of the transmission network and minimizing energy losses. The management of electrical energy for rational use consists of all the operations that the consumers can carry out in order to minimize their electricity bill, while the producers optimize their benefits and the transmission infrastructure. The reduction of active and reactive power consumption and the smoothing of daily and yearly load profiles are the main objectives in this work. Many developed countries already have properly functioning electricity… More > Graphic Abstract

    Management of Peak Loads in an Emerging Electricity Market

  • Open Access

    ARTICLE

    Multi-Agent Consensus Control Scheme for the Load Control Problem

    Te Xu1, Zhixian Lin1, Xinwei Lin1, Changsheng Lin1, Feng Gao1, Zixuan Li2, Peiwen Liu2,*

    Energy Engineering, Vol.119, No.4, pp. 1501-1515, 2022, DOI:10.32604/ee.2022.020082

    Abstract With the help of smart grid technologies, a lot of electrical loads can provide demand response to support the active power balance of the grid. Compared with centralized control methods, decentralized methods reduce the computational burden of the control center and enhance the reliability of the communication. In this paper, a novel second-order multi-agent consensus control method is proposed for load control problem. By introducing the velocity state into the model, the proposed method achieves better performance than traditional ones. Simulation results verify the effectiveness of the proposed method. More >

  • Open Access

    ARTICLE

    Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things

    D. Kothandaraman1,*, M. Manickam2, A. Balasundaram3, D. Pradeep4, A. Arulmurugan5, Arun Kumar Sivaraman6, Sita Rani7, Barnali Dey8, R. Balakrishna9

    Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 655-666, 2022, DOI:10.32604/iasc.2022.024134

    Abstract This work implements a Decentralized Links Failure Prevention (DLFP) routing algorithm to promote enhanced and efficient Internet of Things (IoT). The work increases the mobility as well as an opportunity for loss of IoT node meeting links due to both mobility and blockers/interferers. The proposed algorithm overcomes loss issues as well as works in dynamically allocating alternate route from other IoT nodes available in near and selecting for efficient route in the network. When the link fails, bandwidth is reduced and coverage area problems for packets sending from source to destination is managed. The proposed algorithm works with light-weight wireless… More >

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