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  • Open Access

    ARTICLE

    QoS Routing Optimization Based on Deep Reinforcement Learning in SDN

    Yu Song1, Xusheng Qian2, Nan Zhang3, Wei Wang2, Ao Xiong1,*

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 3007-3021, 2024, DOI:10.32604/cmc.2024.051217 - 15 May 2024

    Abstract To enhance the efficiency and expediency of issuing e-licenses within the power sector, we must confront the challenge of managing the surging demand for data traffic. Within this realm, the network imposes stringent Quality of Service (QoS) requirements, revealing the inadequacies of traditional routing allocation mechanisms in accommodating such extensive data flows. In response to the imperative of handling a substantial influx of data requests promptly and alleviating the constraints of existing technologies and network congestion, we present an architecture for QoS routing optimization with in Software Defined Network (SDN), leveraging deep reinforcement learning. This… More >

  • Open Access

    ARTICLE

    Efficient Route Planning for Real-Time Demand-Responsive Transit

    Hongle Li1, SeongKi Kim2,*

    CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 473-492, 2024, DOI:10.32604/cmc.2024.048402 - 25 April 2024

    Abstract Demand Responsive Transit (DRT) responds to the dynamic users’ requests without any fixed routes and timetables and determines the stop and the start according to the demands. This study explores the optimization of dynamic vehicle scheduling and real-time route planning in urban public transportation systems, with a focus on bus services. It addresses the limitations of current shared mobility routing algorithms, which are primarily designed for simpler, single origin/destination scenarios, and do not meet the complex demands of bus transit systems. The research introduces an route planning algorithm designed to dynamically accommodate passenger travel needs… More >

  • Open Access

    ARTICLE

    Geographic Drone-based Route Optimization Approach for Emergency Area Ad-Hoc Network

    V. Krishnakumar*, R. Asokan

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 985-1000, 2023, DOI:10.32604/csse.2023.029189 - 16 August 2022

    Abstract Wireless sensor Mobile ad hoc networks have excellent potential in moving and monitoring disaster area networks on real-time basis. The recent challenges faced in Mobile Ad Hoc Networks (MANETs) include scalability, localization, heterogeneous network, self-organization, and self-sufficient operation. In this background, the current study focuses on specially-designed communication link establishment for high connection stability of wireless mobile sensor networks, especially in disaster area network. Existing protocols focus on location-dependent communications and use networks based on typically-used Internet Protocol (IP) architecture. However, IP-based communications have a few limitations such as inefficient bandwidth utilization, high processing, less… More >

  • Open Access

    ARTICLE

    A New Route Optimization Approach of Fresh Agricultural Logistics Distribution

    Daqing Wu1,2, Jiye Cui1,*, Dan Li3, Romany Fouad Mansour4

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1553-1569, 2022, DOI:10.32604/iasc.2022.028780 - 25 May 2022

    Abstract Under the fierce market competition and the demand of low-carbon economy, the freshness of fresh products directly determines the degree of customer satisfaction. Cold chain logistics companies must pay attention to the freshness and carbon emissions of fresh products to obtain better service development. In the cold chain logistics path optimization problem, considering the cost, product freshness and carbon emission environmental factors at the same time, based on the cost-benefit idea, a comprehensive cold chain vehicle routing problem optimization model is proposed to minimize the unit cost of product freshness and the carbon trading mechanism… More >

  • Open Access

    ARTICLE

    Enhanced Route Optimization for Wireless Networks Using Meta-Heuristic Engineering

    S. Navaneetha Krishnan1, P. Sundara Vadivel2,*, D. Yuvaraj3, T. Satyanarayana Murthy4, Sree Jagadeesh Malla5, S. Nachiyappan6, S. Shanmuga Priya7

    Computer Systems Science and Engineering, Vol.43, No.1, pp. 17-26, 2022, DOI:10.32604/csse.2022.021590 - 23 March 2022

    Abstract Wireless Sensor Networks (WSN) are commonly used to observe and monitor precise environments. WSNs consist of a large number of inexpensive sensor nodes that have been separated and distributed in different environments. The base station received the amount of data collected by the numerous sensors. The current developments designate that the attentFgion in applications of WSNs has been increased and extended to a very large scale. The Trust-Based Adaptive Acknowledgement (TRAACK) Intrusion-Detection System for Wireless Sensor Networks (WSN) is described based on the number of active positive deliveries and The Kalman filter used in Modified More >

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