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FWDP: A fuzzy logic-based vehicle weighting model for data prioritization in vehicular ad hoc networks
Vehicular Communications ( IF 6.7 ) Pub Date : 2021-09-15 , DOI: 10.1016/j.vehcom.2021.100413
Faezeh Abbasi , Mani Zarei , Amir Masoud Rahmani

In vehicular ad hoc networks (VANETs), data propagation is quite challenging due to the high mobility of vehicles, the instability of communication links, and the inherent topology changes. This paper presents FWDP, a fuzzy logic-based vehicle weighting model (VWM) for scheduling prioritized data in VANETs. FWDP employs roadside units (RSUs) to dominate the frequent topology changes and manage the data propagation. A Fuzzy C-Mean clustering (FCMC) is used for handling clustered vehicles that compete to utilize the shared channel. RSUs receive prioritized data from cluster heads (CHs) in the proposed model wherein CHs allocate scheduled service channels to weighted vehicles during an interval. FWDP is equipped with a fuzzy inference system (FIS) for vehicle weighting according to the velocity and inter-vehicle distance metrics. In addition, RSUs compute the signal-to-noise and the interference ratio (SINR) to solve the hidden terminal problem to prevent radio interference. The OMNET++ simulator is used to show the performance improvement of FWDP in terms of the packet delivery ratio, interference ratio, suspend data ratio, Throughput, end-to-end delay, channel utilization, and packet loss ratio metrics intended for low, intermediate, and high vehicle densities.



中文翻译:

FWDP:一种基于模糊逻辑的车辆加权模型,用于车辆自组织网络中的数据优先排序

在车载自组织网络 (VANET) 中,由于车辆的高移动性、通信链路的不稳定性以及固有的拓扑变化,数据传播非常具有挑战性。本文介绍了 FWDP,一种基于模糊逻辑的车辆加权模型 (VWM),用于调度 VANET 中的优先数据。FWDP 采用路边单元 (RSU) 来控制频繁的拓扑变化并管理数据传播。模糊 C 均值聚类 (FCMC) 用于处理竞争使用共享通道的聚类车辆。RSU 从建议模型中的簇首 (CH) 接收优先数据,其中 CH 在间隔期间将调度的服务信道分配给加权车辆。FWDP 配备了模糊推理系统 (FIS),用于根据速度和车辆间距离指标对车辆进行加权。此外,RSU 计算信噪比和干扰比 (SINR) 以解决隐藏终端问题以防止无线电干扰。OMNET++模拟器用于展示FWDP在包交付率、干扰率、暂停数据率、吞吐量、端到端延迟、信道利用率和丢包率指标方面的性能改进,旨在用于低、中、和高车辆密度。

更新日期:2021-09-15
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