fuzzyForward: A Novel Multi-hop Data Forwarding Scheme Using Fuzzy Decision for Edge VANETs

Yinglong Li, Dan Meng, Xinchen Xu, Tieming Chen, Yanjun Li, Ting Wang
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Abstract

Vehicular Ad Hoc Networks (VANETs) hold the opportunity to help improve safe driving and road efficiency. There are great uncertainty and unpredictability in VANETs due to rapid vehicle movement and changeable road conditions, which makes designing a Quality of Service (QoS) aware data forwarding protocol for VANETs remain a significant challenge. In this paper, A novel fuzzy decision based data forwarding scheme is proposed to meet the QoS requirements of high reliability and low latency. Unlike the existing routing methods, fuzzy information instead of raw vehicular data is used for data forwarding decisions. Besides, fuzzy decision strategies based on fuzzy non-dominate optimization and fuzzy rules are devised for selecting roads at junctions and determining relay vehicles at edge vehicles. Experimental results show that our fuzzy forwarding scheme achieves desirable QoS performance in terms of packet arrival rate, end-to-end delay and communication overhead.
模糊转发:一种基于模糊决策的边缘网多跳数据转发方案
车辆自组织网络(VANETs)有机会帮助提高安全驾驶和道路效率。由于车辆的快速运动和多变的道路条件,自动驾驶车辆网络存在很大的不确定性和不可预测性,这使得设计一种服务质量感知的自动驾驶车辆网络数据转发协议仍然是一个重大挑战。为了满足高可靠性、低时延的QoS要求,提出了一种新的基于模糊决策的数据转发方案。与现有的路由方法不同,该方法使用模糊信息代替原始车辆数据进行数据转发决策。设计了基于模糊非支配优化和模糊规则的模糊决策策略,用于交叉口道路选择和边缘车辆中继车辆确定。实验结果表明,该模糊转发方案在数据包到达率、端到端延迟和通信开销方面都取得了较好的QoS性能。
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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