Huanhuan Li^1,2,*, Hongchang Wei², Zheliang Chen², Yue Xu³

CMC-Computers, Materials & Continua, Vol.80, No.2, pp. 2199-2219, 2024, DOI:10.32604/cmc.2024.052155 - 15 August 2024

Abstract The current resource allocation in 5G vehicular networks for mobile cloud communication faces several challenges, such as low user utilization, unbalanced resource allocation, and extended adaptive allocation time. We propose an adaptive allocation algorithm for mobile cloud communication resources in 5G vehicular networks to address these issues. This study analyzes the components of the 5G vehicular network architecture to determine the performance of different components. It is ascertained that the communication modes in 5G vehicular networks for mobile cloud communication include in-band and out-of-band modes. Furthermore, this study analyzes the single-hop and multi-hop modes in… More >

Devakirubai Navulkumar^1,*, Menakadevi Thangavelu²

Computer Systems Science and Engineering, Vol.44, No.1, pp. 423-440, 2023, DOI:10.32604/csse.2023.025166 - 01 June 2022

Abstract Nomadic Vehicular Cloud (NVC) is envisaged in this work. The predominant aspects of NVC is, it moves along with the vehicle that initiates it and functions only with the resources of moving vehicles on the heavy traffic road without relying on any of the static infrastructure and NVC decides the initiation time of container migration using cell transmission model (CTM). Containers are used in the place of Virtual Machines (VM), as containers’ features are very apt to NVC’s dynamic environment. The specifications of 5G NR V2X PC5 interface are applied to NVC, for the feature… More >

Sohan Kumar Pande¹, Sanjaya Kumar Panda², Satyabrata Das¹, Kshira Sagar Sahoo³, Ashish Kr. Luhach⁴, N. Z. Jhanjhi^5,*, Roobaea Alroobaea⁶, Sivakumar Sivanesan⁵

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 2647-2663, 2021, DOI:10.32604/cmc.2021.015026 - 05 February 2021

Abstract In recent years, vehicular cloud computing (VCC) has gained vast attention for providing a variety of services by creating virtual machines (VMs). These VMs use the resources that are present in modern smart vehicles. Many studies reported that some of these VMs hosted on the vehicles are overloaded, whereas others are underloaded. As a circumstance, the energy consumption of overloaded vehicles is drastically increased. On the other hand, underloaded vehicles are also drawing considerable energy in the underutilized situation. Therefore, minimizing the energy consumption of the VMs that are hosted by both overloaded and underloaded… More >