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Coalitional Game Theoretical Approach for VANET Clustering to Improve SNR

机译:Vanet聚类的独立游戏改进SNR的理论方法

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摘要

Clustering is considered as the potential approach for network management in vehicular ad hoc network (VANET). The performance of clustering is often assessed based on the stability of the clusters. Hence, most of the clustering methods aim to establish stable clusters. However, besides the stability of cluster, good link quality must be provided, especially when reliable and high-capacity transmission is demanded. Therefore, this paper proposes a clustering method based on coalitional game theory with the purpose to improve the average of vehicle-to-vehicle (V2V) signal-to-noise ratio (SNR) and channel capacity while maintaining the stability of the cluster. In the proposed method, each vehicle attempts to form a cluster with other vehicles according to coalition value. To attain the purpose of clustering, the value of coalition is formulated based on the V2V SNR, connection lifetime, and speed difference between vehicles. In fast-changing network topology, the higher average of SNR can be achieved but the stability of cluster becomes hard to be maintained. Based on the simulation results, SNR improvement can be adjusted in order to balance with the cluster stability by setting the parameters in the proposed method accordingly. Further simulation results show that the proposed method can obtain a higher average of V2V SNR and channel capacity than other relevant methods.
机译:聚类被认为是车辆临时网络(VANET)中网络管理的潜在方法。群集的性能通常基于簇的稳定性来评估。因此,大多数聚类方法旨在建立稳定的集群。然而,除了簇的稳定性之外,必须提供良好的链路质量,特别是当需要可靠和高容量传输时。因此,本文提出了一种基于联盟博弈论的聚类方法,目的是提高车辆到车辆(V2V)信噪比(SNR)和信道容量的平均值,同时保持簇的稳定性。在所提出的方法中,每辆车试图根据联盟价值与其他车辆形成簇。为了实现集群的目的,联盟的价值基于V2V SNR,连接寿命和车辆之间的速度差异。在快速变化的网络拓扑中,可以实现较高的SNR平均值,但群体的稳定性变得难以保持。基于仿真结果,可以调整SNR改进,以便通过相应地设置所提出的方法的参数来平衡群集稳定性。进一步的仿真结果表明,该方法可以获得比其他相关方法更高的V2V SNR和信道容量的平均值。

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