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首页> 外文期刊>Soft computing: A fusion of foundations, methodologies and applications >Lion optimization algorithm (LOA)-based reliable emergency message broadcasting system in VANET
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Lion optimization algorithm (LOA)-based reliable emergency message broadcasting system in VANET

机译:狮子优化算法(LOA)VANET中基于可靠的紧急消息广播系统

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摘要

In vehicular ad hoc network (VANET), the standard topology changes caused by the fast mobility of nodes create many challenges to the efficient data delivery in vehicular environment. The density-, mobility- and location-based dissemination technique can fulfill the needs of emergency message broadcasting. Emergency message broadcasting in both highway and urban scenarios has so many problems such as high reliability, low latency and scalability that remains unsolved. The road structure, message redundancy, channel contention are the major issues in urban scenarios. Usually, broadcast protocols for VANET use beacon messages, which is disseminated among the vehicles, in order to get neighborhood information. When the vehicles are next to each other trying to broadcast at the same time, this may lead to frequent contention and broadcast storms. On the other hand, in sparse density scenarios, vehicles have to face with failures in the message delivery. In our research, an adaptive scheduled partitioning and broadcasting technique (ASPBT) will be introduced for a reliable and efficient emergency message broadcasting. This protocol dynamically adjusts the number of partitions and beacon periodicity to reduce the number of retransmissions. In our proposed technique, partition sizes are determined using network density, and the transmission schedule for each partition is estimated using lion optimization algorithm (LOA). It is an optimization biologically inspired by the characteristics of lions. Its corporate and solitary behaviors such as prey capturing, roaming, mating and defense are helped to identify the optimal partition to broadcast the emergency messages first. To lower emergency message transmission delay and reduce message redundancy, ASPBT includes a novel forwarding node selection scheme that utilizes optimal partition, mini-slot and black burst to quickly select remote neighboring nodes, and a single forwarding node is successfully chosen by the asynchronous contention among them. Then, bidirectional broadcast, multi-directional broadcast and directional broadcast are designed according to the positions of the emergency message senders. ASPBT will work well in different network densities and both highway and urban scenarios. Our solid analytical evaluation and simulation results indicate that our proposed technique outperforms the existing broadcasting schemes in VANET in terms of efficiency, delay and reliability.
机译:在车辆临时网络(VANET)中,节点快速移动性引起的标准拓扑变化会对车辆环境中的有效数据传送产生许多挑战。基于密度,移动和位置的传播技术可以满足紧急消息广播的需求。高速公路和城市情景中的紧急消息广播具有如此多的问题,例如高可靠性,低延迟和缩放性仍未解决的可靠性。道路结构,消息冗余,渠道争用是城市情景中的主要问题。通常,Vanet的广播协议使用信标消息,该信标消息在车辆中传播,以获得邻里信息。当车辆彼此彼此旁边尝试同时进行广播时,这可能导致频繁的争论和广播风暴。另一方面,在稀疏密度方案中,车辆必须面对消息传递的故障。在我们的研究中,将引入自适应调度的分区和广播技术(ASPBT)以获得可靠且有效的紧急消息广播。该协议动态调整分区数量和信标周期性,以减少重传的次数。在我们所提出的技术中,使用网络密度确定分区大小,并且使用狮子优化算法(LOA)估计每个分区的传输计划。它是一种通过狮子的特征生物学启发的优化。它的企业和孤独的行为,如猎物捕获,漫游,交配和防御有助于首先识别最佳分区来广播紧急信息。为了降低紧急消息传输延迟并降低消息冗余,ASPBT包括一种新的转发节点选择方案,该节点选择方案利用最佳分区,迷你插槽和黑色突发,以快速选择远程相邻节点,并且由异步争用成功选择单个转发节点他们。然后,根据紧急消息发送器的位置设计双向广播,多向广播和方向广播。 ASPBT将在不同的网络密度和高速公路和城市情景中使用。我们的实体分析评估和仿真结果表明,我们所提出的技术在效率,延迟和可靠性方面优于Vanet中现有的广播方案。

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