A New Method of Fuzzy Multicriteria Routing in Vehicle <i>Ad Hoc</i> Network

Zhang, Degan; Wang, Jia-xu; Zhang, Jie; Zhang, Ting; Yang, Chun; Jiang, Kaiwen

doi:10.1109/tcss.2022.3193739

Cited by 34 publications

(9 citation statements)

References 46 publications

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“…Improvement ω. On the one hand, it is to improve the search efciency, and on the other hand, it is to improve the precocity problem as much as possible [40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55]. Terefore, the diference in particle ftness is used to dynamically adjust the change of inertia weight in this paper.…”

Section: Adjustment Of Inertiamentioning

confidence: 99%

Deviation Correction Path Planning Method of Full‐Width Horizontal Axis Roadheader Based on Improved Particle Swarm Optimization Algorithm

Mao

Zhang

et al. 2023

Mathematical Problems in Engineering

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Aiming at the problem of optimal path planning for deviation correction of full-width horizontal axis roadheader in the confined roadway of the coal mine, a deviation correction path planning method of full-width horizontal axis roadheader based on improved particle swarm optimization (I-PSO) algorithm is proposed. First, according to the driving characteristics of roadheader and deviation correction strategy, the mathematical model of full-width horizontal axis roadheader is established, and the constraints based on pose analysis are determined. Then, taking the shortest total distance from the initial position to the terminal position of roadheader as the objective function of path planning, an optimization model of deviation correction path planning is established. Finally, the I-PSO algorithm is proposed to quickly and accurately solve the deviation correction path model, in order to plan a safe and shorter distance path of full-width horizontal axis roadheader. In the I-PSO algorithm, the fitness difference of particles is used to dynamically adjust the inertia weight parameters to optimize the exploration of the whole or part of activity space, and the learning factor is adjusted to speed up particle convergence and optimization of particles, and a random factor is introduced to update the position of particles to avoid local traps as much as possible. The performance test of the I-PSO algorithm shows that the I-PSO algorithm is superior to other algorithms. The EJM340/4-2 full-width horizontal axis roadheader is used as the simulation object to verify the effectiveness of the I-PSO algorithm in the deviation correction path planning of roadheader. The simulation results show that the I-PSO algorithm proposed can quickly and accurately plan a safe and shorter distance path than the WPSO algorithm and CPSO algorithm and has better convergence and stability. It has laid a good foundation for the intelligent navigation of full-width horizontal axis roadheader in coal mine.

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Section: Adjustment Of Inertiamentioning

confidence: 99%

Deviation Correction Path Planning Method of Full‐Width Horizontal Axis Roadheader Based on Improved Particle Swarm Optimization Algorithm

Mao

Zhang

et al. 2023

Mathematical Problems in Engineering

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“…Since the modern era is data-driven, data privacy will be critical in the vehicular environment. The entities in VNs are diverse, enabling them to generate different data types, including audio, video, text, notifications and location data in a short span (Zhang et al, 2022a(Zhang et al, , 2022b(Zhang et al, , 2022c. The ubiquitous connectivity, autonomy, data availability and interaction between nodes threaten data privacy in VNs (Aloqaily et al, 2018).…”

Section: Security Issues In Vehicular Networkmentioning

confidence: 99%

“…3. Vehicle-to-everything applications VNs offer a wide range of applications; some are delay-sensitive (Zhang et al, 2022a(Zhang et al, , 2022b(Zhang et al, , 2022c like safety applications, real-time accident information and nonsafety applications that offer value-added services (Chen et al, 2018). It enables users to share critical and noncritical information, resulting in an efficient, safe and pleasurable travel experience.…”

Section: Security Issues In Vehicular Networkmentioning

confidence: 99%

“…The scale of users and ubiquitous connectivity is continuously expanding owing to the advancement in communication technology (Zhang et al, 2021a(Zhang et al, , 2021b(Zhang et al, , 2021c and the penetration of the Internet of Things (IoT) (Zhang et al, 2022a(Zhang et al, , 2022b(Zhang et al, , 2022c. Today, we seem closer to ubiquitous vehicle-to-everything (V2X) communication driven by the IoT paradigm (Cui et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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A systematic study on the challenges, characteristics and security issues in vehicular networks

Lone

Verma

Sharma

2023

IJPCC

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Purpose The purpose of this study is to extensively explore the vehicular network paradigm, challenges faced by them and provide a reasonable solution for securing these vulnerable networks. Vehicle-to-everything (V2X) communication has brought the long-anticipated goal of safe, convenient and sustainable transportation closer to reality. The connected vehicle (CV) paradigm is critical to the intelligent transportation systems vision. It imagines a society free of a troublesome transportation system burdened by gridlock, fatal accidents and a polluted environment. The authors cannot overstate the importance of CVs in solving long-standing mobility issues and making travel safer and more convenient. It is high time to explore vehicular networks in detail to suggest solutions to the challenges encountered by these highly dynamic networks. Design/methodology/approach This paper compiles research on various V2X topics, from a comprehensive overview of V2X networks to their unique characteristics and challenges. In doing so, the authors identify multiple issues encountered by V2X communication networks due to their open communication nature and high mobility, especially from a security perspective. Thus, this paper proposes a trust-based model to secure vehicular networks. The proposed approach uses the communicating nodes’ behavior to establish trustworthy relationships. The proposed model only allows trusted nodes to communicate among themselves while isolating malicious nodes to achieve secure communication. Findings Despite the benefits offered by V2X networks, they have associated challenges. As the number of CVs on the roads increase, so does the attack surface. Connected cars provide numerous safety-critical applications that, if compromised, can result in fatal consequences. While cryptographic mechanisms effectively prevent external attacks, various studies propose trust-based models to complement cryptographic solutions for dealing with internal attacks. While numerous trust-based models have been proposed, there is room for improvement in malicious node detection and complexity. Optimizing the number of nodes considered in trust calculation can reduce the complexity of state-of-the-art solutions. The theoretical analysis of the proposed model exhibits an improvement in trust calculation, better malicious node detection and fewer computations. Originality/value The proposed model is the first to add another dimension to trust calculation by incorporating opinions about recommender nodes. The added dimension improves the trust calculation resulting in better performance in thwarting attacks and enhancing security while also reducing the trust calculation complexity.

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“…In MANET, the related routing protocols, including GPSR [7] , have matured and have been extensively studied in recent years. The Geographic Routing method based on Velocity, Angle, and Density (GRVAD) [8] utilizes relative velocity between nodes, the angle between the current node, adjacent nodes, and the target node, as well as the node density of adjacent nodes as inputs to fuzzy logic. Geographic Location Prediction based Routing (GLPR) [9] employs a position-based greedy forwarding strategy, considering factors such as distance, deviation angle, velocity, movement direction, and the number of neighbors.…”

Section: Introductionmentioning

confidence: 99%

MCTB-GPSR: aeronautical ad hoc networks movement change triggers beacon routing based on GPSR

Yue,

Chen,

Shi

2024

Third International Conference on High Performance Computing and Communication Engineering (HPCCE 2023)

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A New Method of Fuzzy Multicriteria Routing in Vehicle Ad Hoc Network

Cited by 34 publications

References 46 publications

Deviation Correction Path Planning Method of Full‐Width Horizontal Axis Roadheader Based on Improved Particle Swarm Optimization Algorithm

Deviation Correction Path Planning Method of Full‐Width Horizontal Axis Roadheader Based on Improved Particle Swarm Optimization Algorithm

A systematic study on the challenges, characteristics and security issues in vehicular networks

MCTB-GPSR: aeronautical ad hoc networks movement change triggers beacon routing based on GPSR

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