A Fuzzy-Based Congestion Control Scheme for Vehicular Adhoc Network Communication

S. I. Olotu, O. Adewale, B. Ojokoh
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Abstract

Vehicular ad hoc network (VANET) is a self-organized, multi-purpose, service-oriented communication network that enables communication between vehicles and between vehicles and roadside infrastructures for the purpose of exchanging messages. In a dense traffic scenario, the message traffic may generate a load higher than the available capacity of the transmission medium leading to channel congestion problem. This situation leads to a rise in packet loss rates and transmission delay. Some existing congestion control schemes adapt the transmission power, transmission rate, and contention window parameters by making comparison with neighboring values through classical logic. However, the approach does not consider points between two close parameter values. This work uses fuzzy logic to improve the adaptation process of the network contention window parameter. The proposed scheme achieved a 15% higher in-packet delivery ratio and 10ms faster transmission compared with related work in terms end-to-end delay.
基于模糊的车辆自组网通信拥塞控制方案
车辆自组织网络(VANET)是一种自组织、多用途、面向服务的通信网络,可实现车辆之间以及车辆与路边基础设施之间的通信,以交换信息。在流量密集的场景下,消息流量可能会产生超过传输介质可用容量的负载,从而导致信道拥塞问题。这种情况会导致丢包率上升和传输延迟。现有的拥塞控制方案通过经典逻辑与相邻值的比较来调整传输功率、传输速率和争用窗口参数。然而,该方法不考虑两个接近参数值之间的点。本文利用模糊逻辑改进了网络竞争窗口参数的自适应过程。在端到端延迟方面,该方案比相关工作提高了15%的包内投递率和10ms的传输速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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