Article
Computer Science, Information Systems
Oleksandr Lemeshko, Oleksandra Yeremenko, Larysa Titarenko, Alexander Barkalov
Summary: This study aims to improve a two-level hierarchical queue management method based on priority and balancing under the interaction prediction principle. The lower level of calculations is connected with problem optimization solutions for congestion management and resource allocation. The proposed method recommends placing the lower-level functions on a set of processors responsible for servicing packets of individual macro-queues, while the processor coordinator performs upper-level calculations to allocate interface bandwidth among the macro-queues. Numerical research confirms the effectiveness of the method in ensuring high scalability and reducing task-solving time related to queue management.
Article
Computer Science, Interdisciplinary Applications
Yuxi Liu, Kailong Zhang, Boyuan Hou, Qiang Li, Jingkai Feng, Thi-Mai-Trang Nguyen, Arnaud de La Fortelle
Summary: With the support of new information technologies, such as the Internet of Vehicles and cloud computing, the Intelligent Transportation System (ITS) has evolved into Cooperative ITS (C-ITS) which focuses on mitigating traffic congestion and blocked emergency vehicles. This paper proposes a new service-oriented and cloud-based cooperative path planning mechanism for heterogeneous vehicles, aiming to optimize the Quality of Transportation Service (QoTS) requirements.
SIMULATION MODELLING PRACTICE AND THEORY
(2023)
Article
Computer Science, Hardware & Architecture
Hailiang Yang, Rukhsana Ruby, Kaishun Wu
Summary: UAV-based mobile relay communication systems play a vital role in future wireless networks, providing ubiquitous network services and applications in emergency situations. Analyzing delay performance at the granular packet level and establishing a priority queuing model for heterogeneous traffic can improve network efficiency and ensure high-priority traffic is served first. Extensive numerical simulations verified the accuracy and effectiveness of the analytical model, showing the importance of UAV trajectory on network performance and the benefits of dynamic trajectories in utilizing channel capacity.
Article
Management
Lun Yu, Seyed Iravani, Ohad Perry
Summary: This paper investigates a large service system with two customer classes, proposes a novel many-server asymptotic regime, where the queue of the slow class behaves like a diffusion limit and the queue of the fast class evolves as a fluid limit. The FDH limit is accurate when there is a significant difference in service rates between the two classes.
OPERATIONS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Imen Bouazzi, Monji Zaidi, Mohammed Usman, Mohammed Zubair M. Shamim
Summary: Energy optimization in wireless sensor networks has been a focus of research, with a proposed adaptive MAC for energy saving and traffic control enhancement. Nodes are grouped based on traffic rate and packet delay, with a fuzzy algorithm utilized for scheduling.
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Software Engineering
Muhammad Fahad, Mohammad Shojafar, Mubashir Abbas, Israr Ahmed, Humaira Ijaz
Summary: Fog computing is a decentralized computing environment that extends cloud computing by processing tasks near end-users on fog nodes. Task scheduling in fog computing is important, as different tasks have different latency requirements. This paper proposes a multi-queue priority-based preemptive task scheduling approach that achieves a balanced task allocation for both latency-sensitive and less latency-sensitive tasks.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Engineering, Electrical & Electronic
Kaizheng Wang, Yafei Wang, Haiping Du, Kanghyun Nam
Summary: This paper proposes a game-based hierarchical control strategy for connected and automated vehicles (CAVs) to improve the traveling efficiency at unsignalized intersections. The strategy includes a priority negotiation layer, strategy bargaining layer, and strategy optimization layer, aiming to prioritize safety and efficiency in intersection cooperation.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Georgios Z. Papadopoulos, Alex Mavromatis, Antoine Gallais, Fabrice Theoleyre
Summary: This article introduces a cooperative storing mode called CoopStor, which detects and triggers actions before packet loss to improve reliability. It relies on the selection of relay and leaf nodes to reduce energy consumption and provide low latency. Performance evaluation shows that CoopStor can reduce packet drops and improve energy-efficient data collection procedures.
Article
Telecommunications
M. Geetha, R. Ganesan
Summary: The paper introduces a protocol named CEPRAN, which aims to enhance the reliability and energy efficiency of WBAN using cooperative communication method. The protocol incorporates an enhanced Cuckoo search optimization algorithm and Cooperative Random Linear Network Coding approach, and experimental results show that CEPRAN outperforms the existing SIMPLE Protocol.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Qinghua Tian, Shixuan Li, Fu Wang, Ran Gao, Haipeng Yao, Feng Tian, Leijing Yang, Qi Zhang, Xiangjun Xin
Summary: With the development of information technology, optical access network has become more diverse and complex. Network slicing, especially in Fi-Wi access network, offers a feasible solution for effectively managing heterogeneous resources. In this paper, an elastic adaptive network slicing scheme based on multi-priority cooperative prediction is proposed. The scheme utilizes priority modeling, depth-first search algorithm, and LSTM model to improve resource allocation, reduce delay for delay-sensitive requests, and mitigate extra delay caused by insufficient reserved resources.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2023)
Article
Engineering, Civil
Zhiyun Deng, Kaidi Yang, Weiming Shen, Yanjun Shi
Summary: This paper proposes a Vehicle-Platoon-Aware Bi-Level Optimization Algorithm for Autonomous Intersection Management (VPA-AIM) to coordinate the merging of Connected and Automated Vehicles at unsignalized intersections. The algorithm aims to balance traffic performance and computational efficiency by incorporating the platoon formation scheme into the upper-level traffic scheduling model and jointly optimizing the passing sequence and timeslots of vehicles with the platoon configuration scheme based on real-time traffic states. A lower-level trajectory planning model is also utilized to generate dynamically-feasible and energy-efficient trajectories, improving space utilization and preventing spillbacks. Numerical experiments demonstrate the superiority of the proposed approach in optimality and stability for real-life applications.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Chengsheng Pan, Song Zhang, Chen Zhao, Huaifeng Shi, Zhixiang Kong, Xiaosong Cui
Summary: The rapid growth of data traffic in intelligent networks poses challenges for queue management algorithms. A novel algorithm called AC-RED is proposed in this paper to address these challenges by considering the change rate of the average queue length.
Article
Computer Science, Information Systems
Subha Kanta Swain, Pradipta Kumar Nanda
Summary: The paper proposes a novel congestion control algorithm in Wireless Sensor Networks (WSNs) using fair bandwidth allocation, traffic class prioritization, and Adaptive Queue Management (ADQM) concepts. The proposed algorithm effectively addresses congestion by considering traffic class priority, average queue size, and node connected loads to achieve fair spare bandwidth distribution. Implemented and evaluated in NS3 platform, the algorithm outperforms existing algorithms in terms of throughput, packet loss, delay, traffic patterns, node mobility, and average queue size.
Article
Engineering, Electrical & Electronic
Adil Alsuhaim, Anjan Rayamajhi, James Westall, Jim Martin
Summary: This paper investigates the string stability of a CACC platoon relying on wireless network, proposing to adjust the time headway parameter based on network reliability metric to maximize traffic flow efficiency while maintaining platoon stability. The findings suggest that careful adjustment of headway value according to wireless network reliability allows the platoon to maintain string-stable operation while maximizing traffic flow.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Fouad A. Yaseen, Nahlah Abdulrahman Alkhalidi, Hamed S. Al-Raweshidy
Summary: The increasing demand for data transfer over the Internet has put a strain on the Internet infrastructure, leading to a lack of rapid response to emergencies and disasters. To address this issue, a network flow priority management model based on machine learning (ML) and software-defined networking (SDN) is proposed. The model prioritizes data traffic from Security, Health, and Emergency (SHE) networks, which work in closed and private domains. The proposed model, evaluated using MATLAB and the Mininet simulator, shows a significant reduction in queuing delay and lost packets, improving the overall efficiency of network traffic management.
