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车载自组织网络的W-GPCR路由方法

W-GPCR Routing Method for Vehicular Ad Hoc Networks.

作者信息

Li Min, Gu Zhiru, Long Yonghong, Shu Xiaohua, Rong Qing, Ma Ziji, Shao Xun

机构信息

College of Traffic Engineering, Hunan University of Technology, Zhuzhou 412007, China.

College of Electrical and Information Engineering, Hunan University, Changsha 410082, China.

出版信息

Sensors (Basel). 2020 Jun 16;20(12):3406. doi: 10.3390/s20123406.

Abstract

The high-speed dynamics of nodes and rapid change of network topology in vehicular ad hoc networks (VANETs) pose significant challenges for the design of routing protocols. Because of the unpredictability of VANETs, selecting the appropriate next-hop relay node, which is related to the performance of the routing protocol, is a difficult task. As an effective solution for VANETs, geographic routing has received extensive attention in recent years. The Greedy Perimeter Coordinator Routing (GPCR) protocol is a widely adopted position-based routing protocol. In this paper, to improve the performance in sparse networks, the local optimum, and the routing loop in the GPCR protocol, the Weighted-GPCR (W-GPCR) protocol is proposed. Firstly, the relationship between vehicle node routing and other parameters, such as the Euclidean distance between node pairs, driving direction, and density, is analyzed. Secondly, the composite parameter weighted model is established and the calculation method is designed for the existing routing problems; the weighted parameter ratio is selected adaptively in different scenarios, so as to obtain the optimal next-hop relay node. In order to verify the performance of the W-GPCR method, the proposed method is compared with existing methods, such as the traditional Geographic Perimeter Stateless Routing (GPSR) protocol and GPCR. Results show that this method is superior in terms of the package delivery ratio, end-to-end delay, and average hop count.

摘要

车载自组织网络(VANETs)中节点的高速动态特性以及网络拓扑结构的快速变化,给路由协议的设计带来了重大挑战。由于VANETs的不可预测性,选择合适的下一跳中继节点是一项艰巨的任务,而这与路由协议的性能相关。作为VANETs的一种有效解决方案,地理路由近年来受到了广泛关注。贪婪周长协调器路由(GPCR)协议是一种被广泛采用的基于位置的路由协议。本文针对GPCR协议在稀疏网络中的性能、局部最优性以及路由环路问题,提出了加权GPCR(W-GPCR)协议。首先,分析了车辆节点路由与其他参数之间的关系,如节点对之间的欧几里得距离、行驶方向和密度。其次,建立了复合参数加权模型,并针对现有路由问题设计了计算方法;在不同场景下自适应选择加权参数比,以获得最优的下一跳中继节点。为了验证W-GPCR方法的性能,将该方法与现有方法进行了比较,如传统的地理周长无状态路由(GPSR)协议和GPCR。结果表明,该方法在数据包交付率、端到端延迟和平均跳数方面具有优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e92c/7348947/90c2b7c2f272/sensors-20-03406-g001.jpg

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