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  • Open Access

    ARTICLE

    Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks

    Abdelhamied A. Ateya1, Amel Ali Alhussan2,*, Hanaa A. Abdallah3, Mona A. Al duailij2, Abdukodir Khakimov4, Ammar Muthanna5

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1775-1787, 2023, DOI:10.32604/csse.2023.031841 - 03 November 2022

    Abstract Next-generation cellular networks are expected to provide users with innovative gigabits and terabits per second speeds and achieve ultra-high reliability, availability, and ultra-low latency. The requirements of such networks are the main challenges that can be handled using a range of recent technologies, including multi-access edge computing (MEC), artificial intelligence (AI), millimeter-wave communications (mmWave), and software-defined networking. Many aspects and design challenges associated with the MEC-based 5G/6G networks should be solved to ensure the required quality of service (QoS). This article considers developing a complex MEC structure for fifth and sixth-generation (5G/6G) cellular networks. Furthermore, More >

  • Open Access

    ARTICLE

    Millimeter Wave Massive MIMO Heterogeneous Networks Using Fuzzy-Based Deep Convolutional Neural Network (FDCNN)

    Hussain Alaaedi*, Masoud Sabaei

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 633-646, 2023, DOI:10.32604/iasc.2023.032462 - 29 September 2022

    Abstract Enabling high mobility applications in millimeter wave (mmWave) based systems opens up a slew of new possibilities, including vehicle communications in addition to wireless virtual/augmented reality. The narrow beam usage in addition to the millimeter waves sensitivity might block the coverage along with the reliability of the mobile links. In this research work, the improvement in the quality of experience faced by the user for multimedia-related applications over the millimeter-wave band is investigated. The high attenuation loss in high frequencies is compensated with a massive array structure named Multiple Input and Multiple Output (MIMO) which… More >

  • Open Access

    ARTICLE

    Region Centric GL Feature Approximation Based Secure Routing for Improved QoS in MANET

    S. Soundararajan1, R. Prabha2, M. Baskar3,*, T. J. Nagalakshmi4

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 267-280, 2023, DOI:10.32604/iasc.2023.032239 - 29 September 2022

    Abstract Secure routing in Mobile Adhoc Network (Manet) is the key issue now a day in providing secure access to different network services. As mobile devices are used in accessing different services, performing secure routing becomes a challenging task. Towards this, different approaches exist which find the trusted route based on their previous transmission details and behavior of different nodes. Also, the methods focused on trust measurement based on tiny information obtained from local nodes or with global information which are incomplete. However, the adversary nodes are more capable and participate in each transmission not just… More >

  • Open Access

    ARTICLE

    Novel Path Counting-Based Method for Fractal Dimension Estimation of the Ultra-Dense Networks

    Farid Nahli11, Alexander Paramonov1, Naglaa F. Soliman2, Hussah Nasser AlEisa3,*, Reem Alkanhel2, Ammar Muthanna1, Abdelhamied A. Ateya4

    Intelligent Automation & Soft Computing, Vol.36, No.1, pp. 561-572, 2023, DOI:10.32604/iasc.2023.031299 - 29 September 2022

    Abstract Next-generation networks, including the Internet of Things (IoT), fifth-generation cellular systems (5G), and sixth-generation cellular systems (6G), suffer from the dramatic increase of the number of deployed devices. This puts high constraints and challenges on the design of such networks. Structural changing of the network is one of such challenges that affect the network performance, including the required quality of service (QoS). The fractal dimension (FD) is considered one of the main indicators used to represent the structure of the communication network. To this end, this work analyzes the FD of the network and its… More >

  • Open Access

    ARTICLE

    Design of Fuzzy Logic Control Framework for QoS Routing in MANET

    M. Vargheese1,*, S. Vanithamani2, D. Stalin David3, Ganga Rama Koteswara Rao4

    Intelligent Automation & Soft Computing, Vol.35, No.3, pp. 3479-3499, 2023, DOI:10.32604/iasc.2023.030948 - 17 August 2022

    Abstract Wireless networks with no infrastructure arise as a result of multiple wireless devices working together. The Mobile Ad hoc Network (MANET) is a system for connecting independently located Mobile Nodes (MNs) via wireless links. A MANET is self-configuring in telecommunications, while MN produces non-infrastructure networks that are entirely decentralized. Both the MAC and routing layers of MANETs take into account issues related to Quality of Service (QoS). When culling a line of optical discernment communication, MANET can be an effective and cost-saving route cull option. To maintain QoS, however, more or fewer challenges must be overcome. This… More >

  • Open Access

    ARTICLE

    A Double Threshold Energy Detection-Based Neural Network for Cognitive Radio Networks

    Nada M. Elfatih1, Elmustafa Sayed Ali1,5, Maha Abdelhaq2, Raed Alsaqour3,*, Rashid A. Saeed4

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 329-342, 2023, DOI:10.32604/csse.2023.028528 - 16 August 2022

    Abstract

    In cognitive radio networks (CoR), the performance of cooperative spectrum sensing is improved by reducing the overall error rate or maximizing the detection probability. Several optimization methods are usually used to optimize the number of user-chosen for cooperation and the threshold selection. However, these methods do not take into account the effect of sample size and its effect on improving CoR performance. In general, a large sample size results in more reliable detection, but takes longer sensing time and increases complexity. Thus, the locally sensed sample size is an optimization problem. Therefore, optimizing the local

    More >

  • Open Access

    ARTICLE

    Topology Driven Cooperative Self Scheduling for Improved Lifetime Maximization in WSN

    G. Brindha1,*, P. Ezhilarasi2

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 445-458, 2023, DOI:10.32604/csse.2023.027329 - 16 August 2022

    Abstract In Wireless Sensor Network (WSN), scheduling is one of the important issues that impacts the lifetime of entire WSN. Various scheduling schemes have been proposed earlier to increase the lifetime of the network. Still, the results from such methods are compromised in terms of achieving high lifetime. With this objective to increase the lifetime of network, an Efficient Topology driven Cooperative Self-Scheduling (TDCSS) model is recommended in this study. Instead of scheduling the network nodes in a centralized manner, a combined approach is proposed. Based on the situation, the proposed TDCSS approach performs scheduling in… More >

  • Open Access

    REVIEW

    Quality of Experience in Internet of Things: A Systematic Literature Review

    Rawan Sanyour*, Manal Abdullah, Salha Abdullah

    Journal on Internet of Things, Vol.4, No.4, pp. 263-282, 2022, DOI:10.32604/jiot.2022.040966 - 18 July 2023

    Abstract With the rapid growth of the Internet of Things paradigm, a tremendous number of applications and services that require minimal or no human involvement have been developed to enhance the quality of everyday life in various domains. In order to ensure that such services provide their functionalities with the expected quality, it is essential to measure and evaluate this quality, which can be in some cases a challenging task due to the lack of human intervention and feedback. Recently, the vast majority of the Quality of Experience QoE works mainly address the multimedia services. However,… More >

  • Open Access

    ARTICLE

    Optimized Cognitive Learning Model for Energy Efficient Fog-BAN-IoT Networks

    S. Kalpana1,*, C. Annadurai2

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 1027-1040, 2022, DOI:10.32604/csse.2022.024685 - 09 May 2022

    Abstract In Internet of Things (IoT), large amount of data are processed and communicated through different network technologies. Wireless Body Area Networks (WBAN) plays pivotal role in the health care domain with an integration of IoT and Artificial Intelligence (AI). The amalgamation of above mentioned tools has taken the new peak in terms of diagnosis and treatment process especially in the pandemic period. But the real challenges such as low latency, energy consumption high throughput still remains in the dark side of the research. This paper proposes a novel optimized cognitive learning based BAN model based… More >

  • Open Access

    ARTICLE

    Mean Opinion Score Estimation for Mobile Broadband Networks Using Bayesian Networks

    Ayman A. El-Saleh1, Abdulraqeb Alhammadi2,*, Ibraheem Shayea3, Azizul Azizan4, Wan Haslina Hassan2

    CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4571-4587, 2022, DOI:10.32604/cmc.2022.024642 - 21 April 2022

    Abstract Mobile broadband (MBB) networks are expanding rapidly to deliver higher data speeds. The fifth-generation cellular network promises enhanced-MBB with high-speed data rates, low power connectivity, and ultra-low latency video streaming. However, existing cellular networks are unable to perform well due to high latency and low bandwidth, which degrades the performance of various applications. As a result, monitoring and evaluation of the performance of these network-supported services is critical. Mobile network providers optimize and monitor their network performance to ensure the highest quality of service to their end-users. This paper proposes a Bayesian model to estimate More >

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