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  • Open Access

    ARTICLE

    Optimal Scheduling Strategy of Source-Load-Storage Based on Wind Power Absorption Benefit

    Jie Ma1, Pengcheng Yue2, Haozheng Yu1, Yuqing Zhang3, Youwen Zhang1, Cuiping Li3, Junhui Li3,*, Wenwen Qin3, Yong Guo1

    Energy Engineering, Vol.121, No.7, pp. 1823-1846, 2024, DOI:10.32604/ee.2024.048225

    Abstract In recent years, the proportion of installed wind power in the three north regions where wind power bases are concentrated is increasing, but the peak regulation capacity of the power grid in the three north regions of China is limited, resulting in insufficient local wind power consumption capacity. Therefore, this paper proposes a two-layer optimal scheduling strategy based on wind power consumption benefits to improve the power grid's wind power consumption capacity. The objective of the upper model is to minimize the peak-valley difference of the system load, which is mainly to optimize the system… More >

  • Open Access

    ARTICLE

    The Impact of Network Topologies and Radio Duty Cycle Mechanisms on the RPL Routing Protocol Power Consumption

    Amal Hkiri1,*, Hamzah Faraj2, Omar Ben Bahri2, Mouna Karmani1, Sami Alqurashi2, Mohsen Machhout1

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 1835-1854, 2024, DOI:10.32604/cmc.2024.049207

    Abstract The Internet of Things (IoT) has witnessed a significant surge in adoption, particularly through the utilization of Wireless Sensor Networks (WSNs), which comprise small internet-connected devices. These deployments span various environments and offer a multitude of benefits. However, the widespread use of battery-powered devices introduces challenges due to their limited hardware resources and communication capabilities. In response to this, the Internet Engineering Task Force (IETF) has developed the IPv6 Routing Protocol for Low-power and Lossy Networks (RPL) to address the unique requirements of such networks. Recognizing the critical role of RPL in maintaining high performance,… More >

  • Open Access

    ARTICLE

    Artificial Neural Network-Based Development of an Efficient Energy Management Strategy for Office Building

    Payal Soni, J. Subhashini*

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1225-1242, 2023, DOI:10.32604/iasc.2023.038155

    Abstract In the current context, a smart grid has replaced the conventional grid through intelligent energy management, integration of renewable energy sources (RES) and two-way communication infrastructures from power generation to distribution. Energy management from the distribution side is a critical problem for balancing load demand. A unique energy management strategy (EMS) is being developed for office building equipment. That includes renewable energy integration, automation, and control based on the Artificial Neural Network (ANN) system using Matlab Simulink. This strategy reduces electric power consumption and balances the load demand of the traditional grid. This strategy is More >

  • Open Access

    ARTICLE

    Multi-Layer Fog-Cloud Architecture for Optimizing the Placement of IoT Applications in Smart Cities

    Mohammad Aldossary*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 633-649, 2023, DOI:10.32604/cmc.2023.035414

    Abstract In the smart city paradigm, the deployment of Internet of Things (IoT) services and solutions requires extensive communication and computing resources to place and process IoT applications in real time, which consumes a lot of energy and increases operational costs. Usually, IoT applications are placed in the cloud to provide high-quality services and scalable resources. However, the existing cloud-based approach should consider the above constraints to efficiently place and process IoT applications. In this paper, an efficient optimization approach for placing IoT applications in a multi-layer fog-cloud environment is proposed using a mathematical model (Mixed-Integer… More >

  • Open Access

    ARTICLE

    Bio-Inspired Optimal Dispatching of Wind Power Consumption Considering Multi-Time Scale Demand Response and High-Energy Load Participation

    Peng Zhao1, Yongxin Zhang1, Qiaozhi Hua2,*, Haipeng Li3, Zheng Wen4

    CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 957-979, 2023, DOI:10.32604/cmes.2022.021783

    Abstract Bio-inspired computer modelling brings solutions from the living phenomena or biological systems to engineering domains. To overcome the obstruction problem of large-scale wind power consumption in Northwest China, this paper constructs a bio-inspired computer model. It is an optimal wind power consumption dispatching model of multi-time scale demand response that takes into account the involved high-energy load. First, the principle of wind power obstruction with the involvement of a high-energy load is examined in this work. In this step, highenergy load model with different regulation characteristics is established. Then, considering the multi-time scale characteristics of More >

  • Open Access

    ARTICLE

    Effect of Refrigerant on the Performance of a C3/MRC Liquefaction Process

    Xiao Wu*, Zhaoting Wang, Longfei Dong, Yanping Xin, Tianshu Yu

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.1, pp. 25-36, 2023, DOI:10.32604/fdmp.2023.020953

    Abstract The Mixed Refrigerant (MR) component is an important factor influencing the performances of natural gas liquefaction processes. However, there is a lack of systematic research about the utilization of propane pre-cooled (C3/MRC). In this paper, this mixed refrigerant cycle liquefaction process is simulated using the HYSYS software and the main influential parameters involved in the process are varied to analyze their influence on the liquefaction rate and power consumption. The results show that an effective way for lowering the power consumption of the compressor consists of reducing the flow through the compressor through optimization of More >

  • Open Access

    ARTICLE

    Wireless Network Security Using Load Balanced Mobile Sink Technique

    Reem Alkanhel1, Mohamed Abouhawwash2,3, S. N. Sangeethaa4, K. Venkatachalam5, Doaa Sami Khafaga6,*

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2135-2149, 2023, DOI:10.32604/iasc.2023.028852

    Abstract Real-time applications based on Wireless Sensor Network (WSN) technologies are quickly increasing due to intelligent surroundings. Among the most significant resources in the WSN are battery power and security. Clustering strategies improve the power factor and secure the WSN environment. It takes more electricity to forward data in a WSN. Though numerous clustering methods have been developed to provide energy consumption, there is indeed a risk of unequal load balancing, resulting in a decrease in the network’s lifetime due to network inequalities and less security. These possibilities arise due to the cluster head’s limited life… More >

  • Open Access

    ARTICLE

    Adaptive Sub-Threshold Voltage Level Control for Voltage Deviate-Domino Circuits

    C. Arun Prasath1,*, C. Gowri Shankar2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1767-1781, 2023, DOI:10.32604/iasc.2023.028758

    Abstract Leakage power and propagation delay are two significant issues found in sub-micron technology-based Complementary Metal-Oxide-Semiconductor (CMOS)-based Very Large-Scale Integration (VLSI) circuit designs. Positive Channel Metal Oxide Semiconductor (PMOS) has been replaced by Negative Channel Metal Oxide Semiconductor (NMOS) in recent years, with low dimension-switching changes in order to shape the mirror of voltage comparator. NMOS is used to reduce stacking leakage as well as total exchange. Domino Logic Circuit is a powerful and versatile digital programmer that gained popularity in recent years. In this study regarding Adaptive Sub Threshold Voltage Level Control Problem, the researchers… More >

  • Open Access

    ARTICLE

    Hybrid Optimisation with Black Hole Algorithm for Improving Network Lifespan

    S. Siamala Devi1, Chandrakala Kuruba2, Yunyoung Nam3,*, Mohamed Abouhawwash4,5

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1873-1887, 2023, DOI:10.32604/iasc.2023.025504

    Abstract Wireless sensor networks (WSNs) are projected to have a wide range of applications in the future. The fundamental problem with WSN is that it has a finite lifespan. Clustering a network is a common strategy for increasing the lifetime of WSNs and, as a result, allowing for faster data transmission. The clustering algorithm’s goal is to select the best cluster head (CH). In the existing system, Hybrid grey wolf sunflower optimization algorithm (HGWSFO)and optimal cluster head selection method is used. It does not provide better competence and output in the network. Therefore, the proposed Hybrid… More >

  • Open Access

    ARTICLE

    Lightweight Algorithm for MQTT Protocol to Enhance Power Consumption in Healthcare Environment

    Anwar D. Alhejaili*, Omar H. Alhazmi

    Journal on Internet of Things, Vol.4, No.1, pp. 21-33, 2022, DOI:10.32604/jiot.2022.019893

    Abstract Internet of things (IoT) is used in various fields such as smart cities, smart home, manufacturing industries, and healthcare. Its application in healthcare has many advantages and disadvantages. One of its most common protocols is Message Queue Telemetry Transport (MQTT). MQTT protocol works as a publisher/subscriber which is suitable for IoT devices with limited power. One of the drawbacks of MQTT is that it is easy to manipulate. The default security provided by MQTT during user authentication, through username and password, does not provide any type of data encryption, to ensure confidentiality or integrity. This… More >

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