Congestion Game With Link Failures for Network Selection in High-Speed Vehicular Networks

Yan, Xiaoyun; Dong, Ping; Du, Xiaojiang; Zheng, Tao; Zhang, Hongke; Guizani, Mohsen

doi:10.1109/access.2018.2884766

Cited by 8 publications

(5 citation statements)

References 31 publications

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“…However, in high-speed vehicular networks, network congestion and reliability remain challenging due to factors such as user behavior prioritizing individual performance and link failures. In [11], authors propose an Enhanced Congestion Game with Link Failure (E-CGF) scheme to cope with these challenges and achieve optimal network selection. E-CGF employs a hidden Markov model to estimate the probability of link failure.…”

Section: Related Workmentioning

confidence: 99%

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Cross-Layer Wireless Resource Allocation Method Based on Environment-Awareness in High-Speed Mobile Networks

Wang,

Guo,

Zhu

et al. 2024

Electronics

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In high-speed mobile scenarios characteristic of the Fifth Generation Mobile Networks (5G) environment, the user video experience may be compromised due to concurrent access by numerous users and frequent base station transitions. Addressing this issue, this study introduces a cross-layer resource allocation model that integrates environmental awareness and is tailored for the exigencies of high-speed mobile networks. The paper delves into the challenges engendered by rapid mobility and extensive user access within the 5G environment and critiques the constraints of prevalent resource allocation methodologies. The model delineated herein is conceptualized as an optimization challenge and characterized as a nonlinear, NP-hard problem. In response to this challenge, this study advocates a novel streaming media transmission algorithm underpinned by edge computing, in tandem with an environment-aware wireless resource allocation algorithm. The article articulates the foundational principles and operational modalities of these algorithms, underscoring the significance of environmental cognizance in resource distribution and the efficacy of edge computing in increasing video transmission efficiency. Empirical validation, achieved through simulation experiments, corroborates the efficacy of the proposed approach. Comparative analysis reveals that, relative to conventional methodologies, the proposed framework significantly improves video transmission quality and user experience, particularly in contexts characterized by frequent network fluctuations and high user densities. This research contributes novel insights and pragmatic solutions to optimize video transmission in existing 5G and prospective network paradigms.

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Section: Related Workmentioning

confidence: 99%

“…The parameter c denotes the cost of transcoding 1 bit of data. In this paper, we aim to maximize the QoE of all users, which can be computed by Equation (11).…”

Section: Costmentioning

confidence: 99%

Cross-Layer Wireless Resource Allocation Method Based on Environment-Awareness in High-Speed Mobile Networks

Wang,

Guo,

Zhu

et al. 2024

Electronics

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“…That is, on the premise of the maximization of passenger volume, travel time is minimized. When determining the time cost [36], [37], a common method is Bureau of Public Road (BPR) function [38], which can be expressed as:…”

Section: A Skeleton Networkmentioning

confidence: 99%

A Multi-Objective Optimization and Hybrid Heuristic Approach for Urban Bus Route Network Design

Wang

2020

IEEE Access

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This study proposed a hybrid optimization model for urban bus transit route network design problem (TRNDP). Although several mathematical methods had been developed to make the problem tractable, the methods relied on excessive assumptions, which resulted in oversimplification or idealization of the problems. In light of these considerations, a multi-level and multi-mode network design method was introduced in this study. A multi-level network consisted of three levels: skeleton network, arterial network, and feeder network. The different levels of network were associated with different modes of public transportation (such as subway, light rail transit, trolleybus, BRT, normal bus, and community branch) based on the features of bus routes, city sizes, etc. In addition, according to the respective features of urban transit route network structures, we developed different optimization models for different levels. Finally, the proposed methodology was applied to case studies of the city of Zhaoyuan in China and the transit network of Mandl benchmark. The results showed that the total travel time for the proposed method was significantly lower than that of the competing method, with a 21.51% reduction. In addition, the proposed method provided 85.23% direct travelers, 14.65% travelers with one transfer, 0.12% travelers with two transfers, and no unsatisfied demand, which were better than the results from the compared method.

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“…Therefore, the encoding coefficient matrix is designed as formula (11). The first k rows from IM is identity matrix and…”

Section: The Implementation Of Bnnc Scheme a Design Of Encoding Mmentioning

confidence: 99%

“…Y. Zhang et al: BNNC: Improving Performance of Multipath Transmission in Heterogeneous Vehicular Networks focused on how to comprehensively utilize heterogeneous network resources in mobile scenario to improve overall performance [11], [12].…”

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confidence: 99%

BNNC: Improving Performance of Multipath Transmission in Heterogeneous Vehicular Networks

Zhang

Dong

et al. 2019

IEEE Access

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Nowadays, multipath transmission scheme in heterogeneous vehicular networks has become an emerging topic. It is a great challenge to overcome the unreliability of heterogeneous wireless network in vehicle-to-ground multipath communication. Many multipath transmission schemes were proposed. However, most schemes do not consider the unreliability of wireless networks and are difficult to deploy in vehicle-to-ground communications. Even though part of the multipath transmission schemes consider the unreliability of wireless networks, their overhead is too large to be deployed in vehicle-to-ground multipath communication. Therefore, we propose a BigNum Network Coding (BNNC) scheme for vehicleto-ground multipath communication. Compared with the Opportunistic Routing (OR) scheme, BNNC's network resource overhead is smaller. Compared with other network coding schemes, it is a better tradeoff between coding flexibility and codec efficiency. In this paper, we propose a brand-new mathematical model for network coding which can effectively improve the reliability of the vehicular networks. Secondly, based on the mathematical model, we design BNNC multipath transmission scheme. Compared with the current network coding scheme, the BNNC scheme considers coding flexibility and codec efficiency while ensuring multipath transmission reliability. Thirdly, we compare BNNC scheme with many current multipath transmission schemes through lots of simulations and real tests. The results show that the BNNC scheme is significantly superior to the other network coding schemes in terms of computational performance. And in terms of the network performance, the BNNC scheme can overcome the unreliability of wireless networks in multipath transmission and it has lower overhead than OR scheme. INDEX TERMS Vehicular networks, multipath transmission, reliability, network coding. I. INTRODUCTION Vehicle-to-ground communication is an important part of the Vehicular Networks [1], [2]. As more devices are added to support greater automation, and multimedia systems entertain us and provide vision, therefore the vehicle-to-ground communication is coming under increasing pressure [3]. The associate editor coordinating the review of this manuscript and approving it for publication was Junhui Zhao. Providing a high performance and reliable vehicle-to-ground communication network for on-board users and devices is a challenging task [4]-[6]. Studies have shown that the use of heterogeneous wireless networks between vehicles and ground can establish a high performance and reliable vehicle-to-ground communication network [7], [8]. Early studies such as Information Raining [9], MAR [10], and these studies focused on how to access heterogeneous networks. In recent years, studies have

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Congestion Game With Link Failures for Network Selection in High-Speed Vehicular Networks

Cited by 8 publications

References 31 publications

Cross-Layer Wireless Resource Allocation Method Based on Environment-Awareness in High-Speed Mobile Networks

Cross-Layer Wireless Resource Allocation Method Based on Environment-Awareness in High-Speed Mobile Networks

A Multi-Objective Optimization and Hybrid Heuristic Approach for Urban Bus Route Network Design

BNNC: Improving Performance of Multipath Transmission in Heterogeneous Vehicular Networks

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