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  • Open Access

    ARTICLE

    Packet Optimization of Software Defined Network Using Lion Optimization

    Jagmeet Kaur1, Shakeel Ahmed2, Yogesh Kumar3, A. Alaboudi4, N. Z. Jhanjhi5, Muhammad Fazal Ijaz6,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2617-2633, 2021, DOI:10.32604/cmc.2021.017470

    Abstract There has been an explosion of cloud services as organizations take advantage of their continuity, predictability, as well as quality of service and it raises the concern about latency, energy-efficiency, and security. This increase in demand requires new configurations of networks, products, and service operators. For this purpose, the software-defined network is an efficient technology that enables to support the future network functions along with the intelligent applications and packet optimization. This work analyzes the offline cloud scenario in which machines are efficiently deployed and scheduled for user processing requests. Performance is evaluated in terms of reducing bandwidth, task execution… More >

  • Open Access

    ARTICLE

    Experimental Investigation of Organic Rankine Cycle (ORC) for Low Temperature Geothermal Fluid: Effect of Pump Rotation and R-134 Working Fluid in Scroll-Expander

    Nugroho Agung Pambudi1,*, Santiko Wibowo1, Ranto1, Lip Huat Saw2

    Energy Engineering, Vol.118, No.5, pp. 1565-1576, 2021, DOI:10.32604/EE.2021.016642

    Abstract Organic Rankine Cycle (ORC) is one of the solutions to utilize a low temperature geothermal fluid for power generation. The ORC system can be placed at the exit of the separator to extract energy from brine. Furthermore, one of the main components of the system and very important is the pump. Therefore, in this research, the pump rotation is examined to investigate the effect on power output and energy efficiency for low temperature geothermal fluid. The rotation is determined by using an inverter with the following frequencies: 7.5, 10, 12.5, 15 and 17.5 Hz, respectively. R-134 working fluid is employed… More >

  • Open Access

    ARTICLE

    Hybrid BWO-IACO Algorithm for Cluster Based Routing in Wireless Sensor Networks

    R. Punithavathi1, Chinnarao Kurangi2, S. P. Balamurugan3, Irina V. Pustokhina4, Denis A. Pustokhin5, K. Shankar6,*

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 433-449, 2021, DOI:10.32604/cmc.2021.018231

    Abstract Wireless Sensor Network (WSN) comprises a massive number of arbitrarily placed sensor nodes that are linked wirelessly to monitor the physical parameters from the target region. As the nodes in WSN operate on inbuilt batteries, the energy depletion occurs after certain rounds of operation and thereby results in reduced network lifetime. To enhance energy efficiency and network longevity, clustering and routing techniques are commonly employed in WSN. This paper presents a novel black widow optimization (BWO) with improved ant colony optimization (IACO) algorithm (BWO-IACO) for cluster based routing in WSN. The proposed BWO-IACO algorithm involves BWO based clustering process to… More >

  • Open Access

    ARTICLE

    Adaptive Cell Zooming Strategy Toward Next-Generation Cellular Networks with Joint Transmission

    Abu Jahid1, Mohammed H. Alsharif2, Raju Kannadasan3, Mahmoud A. Albreem4, Peerapong Uthansakul5,*, Jamel Nebhen6, Ayman A. Aly7

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 81-98, 2021, DOI:10.32604/cmc.2021.017711

    Abstract The Internet subscribers are expected to increase up to 69.7% (6 billion) from 45.3% and 25 billion Internet-of-things connections by 2025. Thus, the ubiquitous availability of data-hungry smart multimedia devices urges research attention to reduce the energy consumption in the fifth-generation cloud radio access network to meet the future traffic demand of high data rates. We propose a new cell zooming paradigm based on joint transmission (JT) coordinated multipoint to optimize user connection by controlling the cell coverage in the downlink communications with a hybrid power supply. The endeavoring cell zooming technique adjusts the coverage area in a given cluster… More >

  • Open Access

    ARTICLE

    NVM Storage in IoT Devices: Opportunities and Challenges

    Yang Liu1, Shan Zhao1,*, Wenhan Chen1, Xuran Ge1, Fang Liu2, Shuo Li3, Nong Xiao1

    Computer Systems Science and Engineering, Vol.38, No.3, pp. 393-409, 2021, DOI:10.32604/csse.2021.017224

    Abstract Edge storage stores the data directly at the data collection point, and does not need to transmit the collected data to the storage central server through the network. It is a critical technology that supports applications such as edge computing and 5G network applications, with lower network communication overhead, lower interaction delay and lower bandwidth cost. However, with the explosion of data and higher real-time requirements, the traditional Internet of Things (IoT) storage architecture cannot meet the requirements of low latency and large capacity. Non-volatile memory (NVM) presents new possibilities regarding this aspect. This paper classifies the different storage architectures… More >

  • Open Access

    ARTICLE

    Energy Aware Clustering with Multihop Routing Algorithm for Wireless Sensor Networks

    A. Daniel*, K.M. Baalamurugan, Vijay Ramalingam, KP Arjun

    Intelligent Automation & Soft Computing, Vol.29, No.1, pp. 233-246, 2021, DOI:10.32604/iasc.2021.016405

    Abstract The Internet of Things (IoT) and the Wireless Sensor Network (WSN) concepts are currently combined to improve data transmission based on sensors in near future applications. Since IoT devices exist in WSN with built-in batteries, power efficiency is a challenge that must be resolved. Clustering and routing are effectively treated as methods for reducing the dissipation of energy and maximising WSN IoT support life. This paper presents the new Energy Aware Adaptive Fuzzy neuro clustering with the WSN assisted IoT algorithm EAANFC-MR. EAANFC-MR is proposed for two main stages, clustering and multihop routing on the basis of EAANFCs. For selecting… More >

  • Open Access

    ARTICLE

    A Hybrid Approach for Performance and Energy-Based Cost Prediction in Clouds

    Mohammad Aldossary*

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3531-3562, 2021, DOI:10.32604/cmc.2021.017477

    Abstract With the striking rise in penetration of Cloud Computing, energy consumption is considered as one of the key cost factors that need to be managed within cloud providers’ infrastructures. Subsequently, recent approaches and strategies based on reactive and proactive methods have been developed for managing cloud computing resources, where the energy consumption and the operational costs are minimized. However, to make better cost decisions in these strategies, the performance and energy awareness should be supported at both Physical Machine (PM) and Virtual Machine (VM) levels. Therefore, in this paper, a novel hybrid approach is proposed, which jointly considered the prediction… More >

  • Open Access

    ARTICLE

    Hybrid Swarm Intelligence Based QoS Aware Clustering with Routing Protocol for WSN

    M. S. Maharajan1, T. Abirami2, Irina V. Pustokhina3, Denis A. Pustokhin4, K. Shankar5,*

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 2995-3013, 2021, DOI:10.32604/cmc.2021.016139

    Abstract Wireless Sensor Networks (WSN) started gaining attention due to its wide application in the fields of data collection and information processing. The recent advancements in multimedia sensors demand the Quality of Service (QoS) be maintained up to certain standards. The restrictions and requirements in QoS management completely depend upon the nature of target application. Some of the major QoS parameters in WSN are energy efficiency, network lifetime, delay and throughput. In this scenario, clustering and routing are considered as the most effective techniques to meet the demands of QoS. Since they are treated as NP (Non-deterministic Polynomial-time) hard problem, Swarm… More >

  • Open Access

    ARTICLE

    Optimal Selection of Hybrid Renewable Energy System Using Multi-Criteria Decision-Making Algorithms

    Hegazy Rezk1,2, Irik Z. Mukhametzyanov3, Mujahed Al-Dhaifallah4,*, Hamdy A. Ziedan5

    CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2001-2027, 2021, DOI:10.32604/cmc.2021.015895

    Abstract Several models of multi-criteria decision-making (MCDM) have identified the optimal alternative electrical energy sources to supply certain load in an isolated region in Al-Minya City, Egypt. The load demand consists of water pumping system with a water desalination unit. Various options containing three different power sources: only DG, PV-B system, and hybrid PV-DG-B, two different sizes of reverse osmosis (RO) units; RO-250 and RO-500, two strategies of energy management; load following (LF) and cycle charging (CC), and two sizes of DG; 5 and 10 kW were taken into account. Eight attributes, including operating cost, renewable fraction, initial cost, the cost… More >

  • Open Access

    ARTICLE

    Qualitative Comparison between the Brazilian Labeling Program for Buildings and the Portuguese Energy Certification System for Buildings: Proposals for Improving Brazilian Regulations

    Jaime Francisco de Sousa Resende1,*, Andrea Lucia Teixeira Charbel2, Teresa Cristina Bessa Nogueira Assunção3

    Energy Engineering, Vol.118, No.3, pp. 615-629, 2021, DOI:10.32604/EE.2021.014588

    Abstract Buildings represent a significant share of the world’s energy consumption, and the sector has drawn the attention of governments, which have adopted policies to reduce energy expenditure. The Certifications of Energy Efficiency in Buildings stand out as one possible solution to achieve this goal, employed in several countries worldwide. The European Union presents advanced energy assessment programs for buildings, being a reference and model for several other regulations in the world. The Energy Certification System for Buildings (SCE) of Portugal is considered a success case, reflected in the significant number of energy certificates issued. The Brazilian Labeling Program for Building… More >

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