A Routing Algorithm Based on Real-Time Information Traffic in Sparse Environment for VANETs.

A Routing Algorithm Based on Real-Time Information Traffic in Sparse Environment for VANETs.
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DOI:
10.3390/s20247018
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发表时间:
2020-12-08
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
通讯作者:
Zhang Y
Zhang Y
中科院分区:
其他
文献类型:
--
作者:
Liu J;Bai F;Weng H;Li S;Cui X;Zhang Y

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由于车辆移动性大、拓扑不稳定、车间无线通信中断等特点,在高动态拓扑结构的车载自组织网络中,很难做出完美的分组转发决策。特别是在稀疏的城市环境中,节点的连通性差往往会造成数据丢包、路由冗余等问题。因此,如何选择最佳的中继节点成为设计快速可靠的路由协议的关键挑战。提出了一种实时有效的信息流量路由算法(RTEIT),它在选择中继节点时,为数据包向目的地转发提供了一条最优路径。RTEIT引入了一个新的网络参数--有效信息流,它可以根据已成功创建的路径来估计节点的连通性。此外,为了避免意外的通信中断,我们提出了一种新的公式,通过考虑速度、方向和位置信息来评估链路的状态。最后,根据有效信息量和链路状态计算节点效用,作为路由决策的依据。使用相扑和NS-3平台的模拟器对RTEIT进行了评估,并与GPSR MOPR、MM-GPSR进行了比较。评估结果表明,RTEIT在丢包率、端到端时延和网络成交率方面都优于RTEIT。
Because of the specific characteristics, like high vehicular mobility, unstable topology, and interruption of inter-vehicle wireless communication, it is hard to make a perfect decision on packet forwarding in highly dynamic topology VANETs. Especially in a sparse urban environment, the poor connectivity of nodes will mostly cause problems such as data packet loss and routing redundancy. Therefore, how to choose the best relay node becomes a key challenge in the design of fast and reliable routing protocols. This paper presents real-time effective information traffic routing (RTEIT), which provides an optimal route for forwarding the data packets toward their destination when choosing the relay node. RTEIT introduces a new network parameter named effective information traffic which can estimate the connectivity of nodes by the path that has been successfully created. Moreover, for avoiding unexpected communication interruption, we propose a new formula to evaluate the status of the links via considering the speed, direction, and location information. Finally, the node utility, as the criterion of routing decision, is calculated by effective information traffic and link status. We use the simulator of SUMO and NS-3 platform to evaluate RTEIT, and the results are compared with GPSR MOPR, and MM-GPSR. The evaluation results demonstrate that RTEIT outperforms in terms of packet loss rate, end-to-end delay, and network yield.
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