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  • Open Access


    An Optimized Approach for Spectrum Utilization in mmWave Massive MIMO 5G Wireless Networks

    Elsaid Md. Abdelrahim1,2, Mona Alduailij3, Mai Alduailij3, Romany F. Mansour4,*, Osama A. Ghoneim5

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1493-1505, 2023, DOI:10.32604/csse.2023.037976

    Abstract Massive multiple-input multiple-output (MIMO) systems that use the millimeter-wave (mm-wave) band have a higher frequency and more antennas, which leads to significant path loss, high power consumption, and server interference. Due to these issues, the spectrum efficiency is significantly reduced, making spectral efficiency improvement an important research topic for 5G communication. Together with communication in the terahertz (THz) bands, mmWave communication is currently a component of the 5G standards and is seen as a solution to the commercial bandwidth shortage. The quantity of continuous, mostly untapped bandwidth in the 30–300 GHz band has presented a rare opportunity to boost the capacity… More >

  • Open Access


    Signature-Based Intrusion Detection System in Wireless 6G IoT Networks

    Mansoor Farooq1,*, Mubashir Hassan Khan2

    Journal on Internet of Things, Vol.4, No.3, pp. 155-168, 2022, DOI:10.32604/jiot.2022.039271

    Abstract An “Intrusion Detection System” (IDS) is a security measure designed to perceive and be aware of unauthorized access or malicious activity on a computer system or network. Signature-based IDSs employ an attack signature database to identify intrusions. This indicates that the system can only identify known attacks and cannot identify brand-new or unidentified assaults. In Wireless 6G IoT networks, signature-based IDSs can be useful to detect a wide range of known attacks such as viruses, worms, and Trojans. However, these networks have specific requirements and constraints, such as the need for real-time detection and low-power operation. To meet these requirements,… More >

  • Open Access


    Machine Learning Based Classifiers for QoE Prediction Framework in Video Streaming over 5G Wireless Networks

    K. B. Ajeyprasaath, P. Vetrivelan*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1919-1939, 2023, DOI:10.32604/cmc.2023.036013

    Abstract Recently, the combination of video services and 5G networks have been gaining attention in the wireless communication realm. With the brisk advancement in 5G network usage and the massive popularity of three-dimensional video streaming, the quality of experience (QoE) of video in 5G systems has been receiving overwhelming significance from both customers and service provider ends. Therefore, effectively categorizing QoE-aware video streaming is imperative for achieving greater client satisfaction. This work makes the following contribution: First, a simulation platform based on NS-3 is introduced to analyze and improve the performance of video services. The simulation is formulated to offer real-time… More >

  • Open Access


    Energy Prediction in IoT Systems Using Machine Learning Models

    S. Balaji*, S. Karthik

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 443-459, 2023, DOI:10.32604/cmc.2023.035275

    Abstract The Internet of Things (IoT) technology has been developed for directing and maintaining the atmosphere in smart buildings in real time. In order to optimise the power generation sector and schedule routine maintenance, it is crucial to predict future energy demand. Electricity demand forecasting is difficult because of the complexity of the available demand patterns. Establishing a perfect prediction of energy consumption at the building’s level is vital and significant to efficiently managing the consumed energy by utilising a strong predictive model. Low forecast accuracy is just one of the reasons why energy consumption and prediction models have failed to… More >

  • Open Access


    Weighted De-Synchronization Based Resource Allocation in Wireless Networks

    Kimchheang Chhea1, Dara Ron1, Jung-Ryun Lee1,2,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1815-1826, 2023, DOI:10.32604/cmc.2023.032376

    Abstract Considering the exponential growth of wireless devices with data-starving applications fused with artificial intelligence, the significance of wireless network scalability using distributed behavior and fairness among users is a crucial feature in guaranteeing reliable service to numerous users in the network environment. The Kuramoto model is described as nonlinear self-sustained phase oscillators spinning at varying intrinsic frequencies connected through the sine of their phase differences and displays a phase transition at a specific coupling strength, in which a mutual behavior is accomplished. In this work, we apply the Kuramoto model to achieve a weighted fair resource allocation in a wireless… More >

  • Open Access


    Improved Network Validity Using Various Soft Computing Techniques

    M. Yuvaraju*, R. Elakkiyavendan

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1465-1477, 2023, DOI:10.32604/iasc.2023.032417

    Abstract Nowadays, when a life span of sensor nodes are threatened by the shortage of energy available for communication, sink mobility is an excellent technique for increasing its lifespan. When communicating via a WSN, the use of nodes as a transmission method eliminates the need for a physical medium. Sink mobility in a dynamic network topology presents a problem for sensor nodes that have reserved resources. Unless the route is revised and changed to reflect the location of the mobile sink location, it will be inefficient for delivering data effectively. In the clustering strategy, nodes are grouped together to improve communication,… More >

  • Open Access


    Energy-Efficient Routing Protocol with Multi-Hop Fuzzy Logic for Wireless Networks

    J. Gobinath1,*, S. Hemajothi2, J. S. Leena Jasmine3

    Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 2457-2471, 2023, DOI:10.32604/iasc.2023.031171

    Abstract A Wireless Sensor Network (WSN) becomes a newer type of real-time embedded device that can be utilized for a wide range of applications that make regular networking which appears impracticable. Concerning the energy production of the nodes, WSN has major issues that may influence the stability of the system. As a result, constructing WSN requires devising protocols and standards that make the most use of constrained capacity, especially the energy resources. WSN faces some issues with increased power utilization and an on going development due to the uneven energy usage between the nodes. Clustering has proven to be a more… More >

  • Open Access


    Optimal Resource Allocation for NOMA Wireless Networks

    Fahad R. Albogamy1, M. A. Aiyashi2, Fazirul Hisyam Hashim3, Imran Khan4, Bong Jun Choi5,*

    CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3249-3261, 2023, DOI:10.32604/cmc.2023.031673

    Abstract The non-orthogonal multiple access (NOMA) method is a novel multiple access technique that aims to increase spectral efficiency (SE) and accommodate enormous user accesses. Multi-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing controllable interference information, and multi-user detection algorithms, such as successive interference cancellation (SIC), are performed at the receiving end to demodulate the necessary user signals. Although its basic signal waveform, like LTE baseline, could be based on orthogonal frequency division multiple access (OFDMA) or discrete Fourier transform (DFT)-spread OFDM, NOMA superimposes numerous users in the power domain. In contrast… More >

  • Open Access


    Hybrid Deep Learning-Based Adaptive Multiple Access Schemes Underwater Wireless Networks

    D. Anitha1,*, R. A. Karthika2

    Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 2463-2477, 2023, DOI:10.32604/iasc.2023.023361

    Abstract Achieving sound communication systems in Under Water Acoustic (UWA) environment remains challenging for researchers. The communication scheme is complex since these acoustic channels exhibit uneven characteristics such as long propagation delay and irregular Doppler shifts. The development of machine and deep learning algorithms has reduced the burden of achieving reliable and good communication schemes in the underwater acoustic environment. This paper proposes a novel intelligent selection method between the different modulation schemes such as Code Division Multiple Access(CDMA), Time Division Multiple Access(TDMA), and Orthogonal Frequency Division Multiplexing(OFDM) techniques using the hybrid combination of the convolutional neural networks(CNN) and ensemble single… More >

  • Open Access


    An Improved Handoff Algorithm for Heterogeneous Wireless Networks

    Deepak Dahiya1, Payal Mahajan2,*, Zaheeruddin2, Mamta Dahiya3

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3433-3453, 2022, DOI:10.32604/cmc.2022.026676

    Abstract Heterogeneous Wireless Network is currently a major area of focus in communication engineering. But the important issue in recent communication is the approachability to the wireless networks while maintaining the quality of service. Today, all the wireless access networks are working in tandem to keep the users always connected to the internet cloud that matches the price affordability and performance goals. In order to achieve seamless connectivity, due consideration has to be given to handoff precision and a smaller number of handoffs. Several researchers have used heuristic approaches to solve this issue. In the present work, a hybrid intelligent algorithm… More >

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