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  • Open Access

    ARTICLE

    Adaptive Time Slot Resource Allocation in SWIPT IoT Networks

    Yunong Yang1, Yuexia Zhang2,3,*, Zhihai Zhuo2

    CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2787-2813, 2023, DOI:10.32604/cmes.2023.027351

    Abstract The rapid advancement of Internet of Things (IoT) technology has brought convenience to people’s lives; however further development of IoT faces serious challenges, such as limited energy and shortage of network spectrum resources. To address the above challenges, this study proposes a simultaneous wireless information and power transfer IoT adaptive time slot resource allocation (SIATS) algorithm. First, an adaptive time slot consisting of periods for sensing, information transmission, and energy harvesting is designed to ensure that the minimum energy harvesting requirement is met while the maximum uplink and downlink throughputs are obtained. Second, the optimal… More >

  • Open Access

    ARTICLE

    Hybrid Optimization Algorithm for Resource Allocation in LTE-Based D2D Communication

    Amel Austine*, R. Suji Pramila

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 2263-2276, 2023, DOI:10.32604/csse.2023.032323

    Abstract In a cellular network, direct Device-to-Device (D2D) communication enhances Quality of Service (QoS) in terms of coverage, throughput and amount of power consumed. Since the D2D pairs involve cellular resources for communication, the chances of interference are high. D2D communications demand minimum interference along with maximum throughput and sum rate which can be achieved by employing optimal resources and efficient power allocation procedures. In this research, a hybrid optimization model called Genetic Algorithm-Adaptive Bat Optimization (GA-ABO) algorithm is proposed for efficient resource allocation in a cellular network with D2D communication. Simulation analysis demonstrates that the More >

  • Open Access

    ARTICLE

    Connected Vehicles Computation Task Offloading Based on Opportunism in Cooperative Edge Computing

    Duan Xue1,2, Yan Guo1,*, Ning Li1, Xiaoxiang Song1

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 609-631, 2023, DOI:10.32604/cmc.2023.035177

    Abstract The traditional multi-access edge computing (MEC) capacity is overwhelmed by the increasing demand for vehicles, leading to acute degradation in task offloading performance. There is a tremendous number of resource-rich and idle mobile connected vehicles (CVs) in the traffic network, and vehicles are created as opportunistic ad-hoc edge clouds to alleviate the resource limitation of MEC by providing opportunistic computing services. On this basis, a novel scalable system framework is proposed in this paper for computation task offloading in opportunistic CV-assisted MEC. In this framework, opportunistic ad-hoc edge cloud and fixed edge cloud cooperate to… More >

  • Open Access

    ARTICLE

    Device Discovery in D2D Communication: Scenarios and Challenges

    Adeel Iqbal1, Ali Nauman2, Riaz Hussain1, Irfan Latif Khan1, Ali Khaqan1, Sana Shuja1, Sung Won Kim2,*

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1735-1750, 2023, DOI:10.32604/cmc.2023.034468

    Abstract Device to Device (D2D) communication is expected to be an essential part of 5G cellular networks. D2D communication enables close-proximity devices to establish a direct communication session. D2D communication offers many advantages, such as reduced latency, high data rates, range extension, and cellular offloading. The first step to establishing a D2D session is device discovery; an efficient device discovery will lead to efficient D2D communication. D2D device further needs to manage its mode of communication, perform resource allocation, manage its interference and most importantly control its power to improve the battery life of the device. More >

  • Open Access

    ARTICLE

    An Optimal Algorithm for Resource Allocation in D2D Communication

    Shahad Alyousif1,2, Mohammed Dauwed3,*, Rafal Nader4, Mohammed Hasan Ali5, Mustafa Musa Jabar6,7, Ahmed Alkhayyat8

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 531-546, 2023, DOI:10.32604/cmc.2023.034329

    Abstract The number of mobile devices accessing wireless networks is skyrocketing due to the rapid advancement of sensors and wireless communication technology. In the upcoming years, it is anticipated that mobile data traffic would rise even more. The development of a new cellular network paradigm is being driven by the Internet of Things, smart homes, and more sophisticated applications with greater data rates and latency requirements. Resources are being used up quickly due to the steady growth of smartphone devices and multimedia apps. Computation offloading to either several distant clouds or close mobile devices has consistently… More >

  • Open Access

    ARTICLE

    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… More >

  • Open Access

    ARTICLE

    Double Deep Q-Network Method for Energy Efficiency and Throughput in a UAV-Assisted Terrestrial Network

    Mohamed Amine Ouamri1,2, Reem Alkanhel3,*, Daljeet Singh4, El-sayed M. El-kenaway5, Sherif S. M. Ghoneim6

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 73-92, 2023, DOI:10.32604/csse.2023.034461

    Abstract Increasing the coverage and capacity of cellular networks by deploying additional base stations is one of the fundamental objectives of fifth-generation (5G) networks. However, it leads to performance degradation and huge spectral consumption due to the massive densification of connected devices and simultaneous access demand. To meet these access conditions and improve Quality of Service, resource allocation (RA) should be carefully optimized. Traditionally, RA problems are nonconvex optimizations, which are performed using heuristic methods, such as genetic algorithm, particle swarm optimization, and simulated annealing. However, the application of these approaches remains computationally expensive and unattractive… More >

  • Open Access

    ARTICLE

    A Load-Fairness Prioritization-Based Matching Technique for Cloud Task Scheduling and Resource Allocation

    Abdulaziz Alhubaishy1,*, Abdulmajeed Aljuhani2

    Computer Systems Science and Engineering, Vol.45, No.3, pp. 2461-2481, 2023, DOI:10.32604/csse.2023.032217

    Abstract In a cloud environment, consumers search for the best service provider that accomplishes the required tasks based on a set of criteria such as completion time and cost. On the other hand, Cloud Service Providers (CSPs) seek to maximize their profits by attracting and serving more consumers based on their resource capabilities. The literature has discussed the problem by considering either consumers’ needs or CSPs’ capabilities. A problem resides in the lack of explicit models that combine preferences of consumers with the capabilities of CSPs to provide a unified process for resource allocation and task… More >

  • Open Access

    ARTICLE

    Optimized Resource Allocation for IoT-D2D Communication Using WSN

    S. Arun Mozhi Selvi1,*, Roobaea Alroobaea2, Saeed Rubaiee3, Abdulkader S. Hanbazazah3

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1789-1804, 2023, DOI:10.32604/csse.2023.031341

    Abstract The need for a strong system to access radio resources demands a change in operating frequency in wireless networks as a part of Radio Resource Management (RRM). In the fifth-generation (5G) wireless networks, the capacity of the system is expected to be enhanced by Device-to-Device (D2D) communication. The cooperation and Resources Allocation (RA) in the development of Internet of Things (IoT) enabled 5G wireless networks are investigated in this paper. Developing radio RA methods for D2D communication while not affecting any Mobile Users’ (MU) communication is the main challenge of this research. Distinct performance goals… More >

  • Open Access

    ARTICLE

    Optimized Resource Allocation and Queue Management for Traffic Control in MANET

    I. Ambika1,*, Surbhi Bhatia2, Shakila Basheer3, Pankaj Dadheech4

    Computer Systems Science and Engineering, Vol.45, No.2, pp. 1323-1342, 2023, DOI:10.32604/csse.2023.030786

    Abstract A set of mobile devices that employs wireless transmission for communication is termed Mobile Ad hoc Networks (MANETs). Offering better communication services among the users in a centralized organization is the primary objective of the MANET. Due to the features of MANET, this can directly End-to-End Delay (EED) the Quality of Service (QoS). Hence, the implementation of resource management becomes an essential issue in MANETs. This paper focuses on the efficient Resource Allocation (RA) for many types of Traffic Flows (TF) in MANET. In Mobile Ad hoc Networks environments, the main objective of Resource Allocation… More >

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