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  • Open Access

    ARTICLE

    Efficient Power Control for UAV Based on Trajectory and Game Theory

    Fadhil Mukhlif1,*, Ashraf Osman Ibrahim2, Norafida Ithnin1, Roobaea Alroobaea3, Majed Alsafyani3

    CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5589-5606, 2023, DOI:10.32604/cmc.2023.034323

    Abstract Due to the fact that network space is becoming more limited, the implementation of ultra-dense networks (UDNs) has the potential to enhance not only network coverage but also network throughput. Unmanned Aerial Vehicle (UAV) communications have recently garnered a lot of attention due to the fact that they are extremely versatile and may be applied to a wide variety of contexts and purposes. A cognitive UAV is proposed as a solution for the Internet of Things ground terminal’s wireless nodes in this article. In the IoT system, the UAV is utilised not only to determine how the resources should be… More >

  • Open Access

    ARTICLE

    Evaluation of Process and Economic Feasibility of Implementing a Topping Cycle Cogeneration

    Unique Karki*, Bhaskaran Gopalakrishnan

    Energy Engineering, Vol.120, No.2, pp. 345-365, 2023, DOI:10.32604/ee.2023.025600

    Abstract Industrial applications that require steam for their end-use generally utilize steam boilers that are typically oversized, citing operations flexibility. Similarly, gas turbine-based power plants corroborate a gas turbine system that may eventually relieve the usable exhaust into the atmosphere. This study explores the economic and technical feasibility of a topping cycle combined heat and power (CHP) system. It does so by leveraging a partially loaded boiler or gas turbine by increasing its unused load to generate steam and heat for subsequent usage. To this end, a decision support tool (COGENTEC) was developed, which emulates a given facility’s boiler or gas-turbine… More > Graphic Abstract

    Evaluation of Process and Economic Feasibility of Implementing a Topping Cycle Cogeneration

  • Open Access

    ARTICLE

    Improved Metaheuristic Based Failure Prediction with Migration Optimization in Cloud Environment

    K. Karthikeyan1,*, Liyakathunisa2, Eman Aljohani2, Thavavel Vaiyapuri3

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1641-1654, 2023, DOI:10.32604/csse.2023.031582

    Abstract Cloud data centers consume high volume of energy for processing and switching the servers among different modes. Virtual Machine (VM) migration enhances the performance of cloud servers in terms of energy efficiency, internal failures and availability. On the other end, energy utilization can be minimized by decreasing the number of active, underutilized sources which conversely reduces the dependability of the system. In VM migration process, the VMs are migrated from underutilized physical resources to other resources to minimize energy utilization and optimize the operations. In this view, the current study develops an Improved Metaheuristic Based Failure Prediction with Virtual Machine… More >

  • Open Access

    ARTICLE

    Energy Efficient Networks Using Ant Colony Optimization with Game Theory Clustering

    Harish Gunigari1,*, S. Chitra2

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3557-3571, 2023, DOI:10.32604/iasc.2023.029155

    Abstract Real-time applications based on Wireless Sensor Network (WSN) technologies quickly lead to the growth of an intelligent environment. Sensor nodes play an essential role in distributing information from networking and its transfer to the sinks. The ability of dynamical technologies and related techniques to be aided by data collection and analysis across the Internet of Things (IoT) network is widely recognized. Sensor nodes are low-power devices with low power devices, storage, and quantitative processing capabilities. The existing system uses the Artificial Immune System-Particle Swarm Optimization method to minimize the energy and improve the network’s lifespan. In the proposed system, a… More >

  • Open Access

    ARTICLE

    Optimal Deep Learning Enabled Communication System for Unmanned Aerial Vehicles

    Anwer Mustafa Hilal1,*, Jaber S. Alzahrani2, Dalia H. Elkamchouchi3, Majdy M. Eltahir4, Ahmed S. Almasoud5, Abdelwahed Motwakel1, Abu Sarwar Zamani1, Ishfaq Yaseen1

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 955-969, 2023, DOI:10.32604/csse.2023.030132

    Abstract Recently, unmanned aerial vehicles (UAV) or drones are widely employed for several application areas such as surveillance, disaster management, etc. Since UAVs are limited to energy, efficient coordination between them becomes essential to optimally utilize the resources and effective communication among them and base station (BS). Therefore, clustering can be employed as an effective way of accomplishing smart communication systems among multiple UAVs. In this aspect, this paper presents a group teaching optimization algorithm with deep learning enabled smart communication system (GTOADL-SCS) technique for UAV networks. The proposed GTOADL-SCS model encompasses a two stage process namely clustering and classification. At… More >

  • Open Access

    ARTICLE

    Metaheuristic Secure Clustering Scheme for Energy Harvesting Wireless Sensor Networks

    S. Nithya Roopa1, P. Anandababu2,*, Sibi Amaran3, Rajesh Verma4

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 497-512, 2023, DOI:10.32604/csse.2023.029133

    Abstract Recently, energy harvesting wireless sensor networks (EHWSN) have increased significant attention among research communities. By harvesting energy from the neighboring environment, the sensors in EHWSN resolve the energy constraint problem and offers lengthened network lifetime. Clustering is one of the proficient ways for accomplishing even improved lifetime in EHWSN. The clustering process intends to appropriately elect the cluster heads (CHs) and construct clusters. Though several models are available in the literature, it is still needed to accomplish energy efficiency and security in EHWSN. In this view, this study develops a novel Chaotic Rider Optimization Based Clustering Protocol for Secure Energy… More >

  • Open Access

    ARTICLE

    FSE2R: An Improved Collision-Avoidance-based Energy Efficient Route Selection Protocol in USN

    Prasant Ku. Dash1, Lopamudra Hota2, Madhumita Panda3, N. Z. Jhanjhi4,*, Kshira Sagar Sahoo5, Mehedi Masud6

    Computer Systems Science and Engineering, Vol.44, No.3, pp. 2225-2242, 2023, DOI:10.32604/csse.2023.024836

    Abstract The 3D Underwater Sensor Network (USNs) has become the most optimistic medium for tracking and monitoring underwater environment. Energy and collision are two most critical factors in USNs for both sparse and dense regions. Due to harsh ocean environment, it is a challenge to design a reliable energy efficient with collision free protocol. Diversity in link qualities may cause collision and frequent communication lead to energy loss; that effects the network performance. To overcome these challenges a novel protocol Forwarder Selection Energy Efficient Routing (FSE2R) is proposed. Our proposal’s key idea is based on computation of node distance from the… More >

  • Open Access

    ARTICLE

    Chaotic Pigeon Inspired Optimization Technique for Clustered Wireless Sensor Networks

    Anwer Mustafa Hilal1,2,*, Aisha Hassan Abdalla Hashim1, Sami Dhahbi3, Dalia H. Elkamchouchi4, Jaber S. Alzahrani5, Mrim M. Alnfiai6, Amira Sayed A. Aziz7, Abdelwahed Motwakel2

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 6547-6561, 2022, DOI:10.32604/cmc.2022.031660

    Abstract Wireless Sensor Networks (WSN) interlink numerous Sensor Nodes (SN) to support Internet of Things (loT) services. But the data gathered from SNs can be divulged, tempered, and forged. Conventional WSN data processes manage the data in a centralized format at terminal gadgets. These devices are prone to attacks and the security of systems can get compromised. Blockchain is a distributed and decentralized technique that has the ability to handle security issues in WSN. The security issues include transactions that may be copied and spread across numerous nodes in a peer-peer network system. This breaches the mutual trust and allows data… More >

  • Open Access

    ARTICLE

    Metaheuristics Enabled Clustering with Routing Scheme for Wireless Sensor Networks

    Mashael M. Asiri1, Saud S. Alotaibi2, Dalia H. Elkamchouchi3, Amira Sayed A. Aziz4, Manar Ahmed Hamza5,*, Abdelwahed Motwakel5, Abu Sarwar Zamani5, Ishfaq Yaseen5

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5491-5507, 2022, DOI:10.32604/cmc.2022.031345

    Abstract Wireless Sensor Network (WSN) is a vital element in Internet of Things (IoT) as the former enables the collection of huge quantities of data in energy-constrained environment. WSN offers independent access to the target region and performs data collection in an effective manner. But energy constraints remain a challenging issue in WSN since it operates on in-built battery. The studies conducted earlier recommended that the energy spent on communication process must be considerably reduced to improve the efficiency of WSN. Cluster organization and optimal selection of the routes are considered as NP hard optimization problems which can be resolved with… More >

  • Open Access

    ARTICLE

    Novel Approach to Energy Management via Performance Shaping Factors in Power Plants

    Ahmed Ali Ajmi1,2, Noor Shakir Mahmood1,2, Khairur Rijal Jamaludin1,*, Hayati Habibah Abdul Talib1, Shamsul Sarip1, Hazilah Mad Kaidi1

    CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 5025-5039, 2022, DOI:10.32604/cmc.2022.031239

    Abstract The literature that a lack of integration between the performance shaping factors (PSFs) and the energy management performance (EMP) is one of the critical problems that prevent performance improvement and reduces the power plant’s efficiency. To solve this problem, this article aims to achieve two main objectives: (1) Systematically investigate and identify the critical success factors (CSFs) for integration with PSFs and EMP; (2) Develop a novel modelling approach to predict the performance of power plants based on innovative integrated strategies. The research methodology is grounded on the theoretical and practical approach to improving performance. The Newcastle Ottawa Scale (NOS)… More >

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