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  • Open Access

    ARTICLE

    Traffic Queuing Management in the Internet of Things: An Optimized RED Algorithm Based Approach

    Abdul Waheed1,2,*, Naila Habib Khan3, Mahdi Zareei4, Shahab Ul Islam5, Latif Jan5,6, Arif Iqbal Umar1, Ehab Mahmoud Mohamed7,8

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 359-372, 2021, DOI:10.32604/cmc.2020.012196

    Abstract Congestion control is one of the main obstacles in cyberspace traffic. Overcrowding in internet traffic may cause several problems; such as high packet hold-up, high packet dropping, and low packet output. In the course of data transmission for various applications in the Internet of things, such problems are usually generated relative to the input. To tackle such problems, this paper presents an analytical model using an optimized Random Early Detection (RED) algorithm-based approach for internet traffic management. The validity of the proposed model is checked through extensive simulation-based experiments. An analysis is observed for different More >

  • Open Access

    ARTICLE

    Performance Analysis of Intelligent CR-NOMA Model for Industrial IoT Communications

    Yinghua Zhang1,2, Jian Liu1, Yunfeng Peng1, Yanfang Dong2, Changming Zhao3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.1, pp. 239-257, 2020, DOI:10.32604/cmes.2020.010778

    Abstract Aiming for ultra-reliable low-latency wireless communications required in industrial internet of things (IIoT) applications, this paper studies a simple cognitive radio non-orthogonal multiple access (CR-NOMA) downlink system. This system consists of two secondary users (SUs) dynamically interfered by the primary user (PU), and its performance is characterized by the outage probability of the SU communications. This outage probability is calculated under two conditions where, a) the transmission of PU starts after the channel state information (CSI) is acquired, so the base station (BS) is oblivious of the interference, and b) when the BS is aware… More >

  • Open Access

    ARTICLE

    Big Data Based Self-optimization Networking: A Novel Approach Beyond Cognition

    Amin Mohajera, Morteza Bararia, Houman Zarrabib

    Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 413-420, 2018, DOI:10.1080/10798587.2017.1312893

    Abstract It is essential to satisfy class-specific QoS constraints to provide broadband services for new generation wireless networks. A self-optimization technique is introduced as the only viable solution for controlling and managing this type of huge data networks. This technique allows control of resources and key performance indicators without human intervention, based solely on the network intelligence. The present study proposes a big data based self optimization networking (BD-SON) model for wireless networks in which the KPI parameters affecting the QoS are assumed to be controlled through a multidimensional decision-making process. Also, Resource Management Center (RMC)… More >

  • Open Access

    ARTICLE

    QoS-Aware Energy-Efficient Task Scheduling on HPC Cloud Infrastructures Using Swarm-Intelligence Meta-Heuristics

    Amit Chhabra1, *, Gurvinder Singh2, Karanjeet Singh Kahlon2

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 813-834, 2020, DOI:10.32604/cmc.2020.010934

    Abstract Cloud computing infrastructure has been evolving as a cost-effective platform for providing computational resources in the form of high-performance computing as a service (HPCaaS) to users for executing HPC applications. However, the broader use of the Cloud services, the rapid increase in the size, and the capacity of Cloud data centers bring a remarkable rise in energy consumption leading to a significant rise in the system provider expenses and carbon emissions in the environment. Besides this, users have become more demanding in terms of Quality-of-service (QoS) expectations in terms of execution time, budget cost, utilization,… More >

  • Open Access

    ARTICLE

    Performance Analysis of Relay Based NOMA Cooperative Transmission under Cognitive Radio Network

    Yinghua Zhang1, 2, Jian Liu1, *, Yunfeng Peng1, Yanfang Dong2, Guozhong Sun2, Hao Huang3, Changming Zhao4, 5

    CMC-Computers, Materials & Continua, Vol.63, No.1, pp. 197-212, 2020, DOI:10.32604/cmc.2020.07059

    Abstract This paper proposes a hybrid spectrum accessing mechanism by using NOMA-based cooperative transmission and beam-forming technology. In this mechanism, the secondary user employs spectrum-sensing technology to detect the existence of the primary user. If the primary user does not exist, the secondary source user directly transmits data to the destination user. If the primary user exists, the secondary source user finds the optimal relay according to certain selection principle before transmitting data to the destination user through the chosen relay node. For the signal receiving stage, the secondary user takes use of beam-forming technology to More >

  • Open Access

    ARTICLE

    QoS-Aware and Resource-Efficient Dynamic Slicing Mechanism for Internet of Things

    Wenchen He1,*, Shaoyong Guo1, Yun Liang2, Rui Ma3, Xuesong Qiu1, Lei Shi4

    CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1345-1364, 2019, DOI:10.32604/cmc.2019.06669

    Abstract With the popularization of terminal devices and services in Internet of things (IoT), it will be a challenge to design a network resource allocation method meeting various QoS requirements and effectively using substrate resources. In this paper, a dynamic network slicing mechanism including virtual network (VN) mapping and VN reconfiguration is proposed to provide network slices for services. Firstly, a service priority model is defined to create queue for resource allocation. Then a slice including Virtual Network Function (VNF) placement and routing with optimal cost is generated by VN mapping. Next, considering temporal variations of More >

  • Open Access

    ARTICLE

    Adaptive Handover Decision Inspired By Biological Mechanism in Vehicle Ad-hoc Networks

    Xuting Duan1,2,3, Jingyi Wei1,2,3, Daxin Tian1,2,3,*, Jianshan Zhou1,2,3,4, Haiying Xia5, Xin Li6, Kunxian Zheng1,2,3

    CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1117-1128, 2019, DOI:10.32604/cmc.2019.05578

    Abstract In vehicle ad-hoc networks (VANETs), the proliferation of wireless communication will give rise to the heterogeneous access environment where network selection becomes significant. Motivated by the self-adaptive paradigm of cellular attractors, this paper regards an individual communication as a cell, so that we can apply the revised attractor selection model to induce each connected vehicle. Aiming at improving the Quality of Service (QoS), we presented the bio-inspired handover decision-making mechanism. In addition, we employ the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) for any vehicle to choose an access network. This More >

  • Open Access

    ARTICLE

    An Efficient Greedy Traffic Aware Routing Scheme for Internet of Vehicles

    Belghachi Mohammed1,*, Debab Naouel1

    CMC-Computers, Materials & Continua, Vol.60, No.3, pp. 959-972, 2019, DOI:10.32604/cmc.2019.07580

    Abstract A new paradigm of VANET has emerged in recent years: Internet of Vehicles (IoV). These networks are formed on the roads and streets between travellers who have relationships, interactions and common social interests. Users of these networks exchange information of common interest, for example, traffic jams and dangers on the way. They can also exchange files such as multimedia files. IoV is considered as part of the Internet of Things (IoT) where objects are vehicles, which can create a multitude of services dedicated to the intelligent transportation system. The interest is to permit to all… More >

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