TY -的A2 Zanin Massimiliano AU -萨利姆,穆罕默德Asim AU -运输代理,周盟-萨瓦尔,默罕默德欧麦尔AU -艾哈迈德,Tanveer盟——Maqbool派别盟——Shivachi卡斯珀Shikali盟,塔里克Maham PY - 2021 DA - 2021/07/12 TI -深上优于动态稳定的簇头选择在VANET SP - 9936299六世- 2021 AB - VANET是自发的发展建立一个无线网络,这些网络和集群是一个具有挑战性的任务,由于快速变化的拓扑和频繁的断开网络。集群头(CH)稳定起着重要的作用在网络的健壮性和可扩展性。稳定的CH确保最低内部和intercluster沟通,从而减少开销。这些挑战导致作者寻找CH选择方法基于加权融合的四个指标:适合因素,社区附近,怪癖,和信任。CH的稳定性取决于车辆的速度,距离,速度,加速度的变化。这些都是包含在适合的因素。同时,车辆的准确位置变化的模型非常重要。因此,与卡尔曼滤波器的预测位置的帮助是用来评估CH稳定。结果显示更好的性能比现有的适合的艺术状态的因素。动态的变化和频繁的断开通信链路由于车辆的高速是不可避免的。 To comprehend this problem, a graphing approach is used to evaluate the eccentricity and the community neighborhood. The link reliability is calculated using the eigengap heuristic. The last metric is trust; this is one of the concepts that has not been included in the weighted approach to date as per the literature. An adaptive spectrum sensing is designed for evaluating the trust values specifically for the primary users. A deep recurrent learning network, commonly known as long short-term memory (LSTM), is trained for the probability of detection with various signals and noise conditions. The false rate has drastically reduced with the usage of LSTM. The proposed scheme is tested on the real map of Chengdu, southwestern China’s Sichuan province, with different vehicular mobilities. The comparative study with the individual and weighted metric has shown significant improvement in the cluster head stability during high vehicular density. Also, there is a considerable increase in network performance in energy, packet delay, packet delay ratio, and throughput. SN - 0197-6729 UR - https://doi.org/10.1155/2021/9936299 DO - 10.1155/2021/9936299 JF - Journal of Advanced Transportation PB - Hindawi KW - ER -