Internet of Vehicles (IoV) finds a prime application in road safety via emergency message transmission which helps drivers take an intelligent decision on the road. However, as malicious nodes can pose serious challenges, particularly on highway traffic, trust management is essential for excluding malicious nodes from the network. In order to transfer emergency messages efficiently, we consider different communities among the nodes in the network based on their social activities and interests. In this paper, we propose a novel nature-inspired forest fire model for the selection of minimum number of broadcaster nodes in the network for the dissemination of emergency messages. The proposed model maps the spread of emergency messages in the network to the spread of wildfire in a forest, and the key factors for message transmission are established by analyzing the forest fire model. Finally, the proposed model decides whether or not to relay the message based on the nodes' trust value, which is calculated using behavioral parameters. Thus, all the nodes with less trust value can be considered as malicious nodes and effectively excluded from the network using the trust values. Experiments were carried out, and the findings revealed that the proposed system was very resilient to a variety of network conditions, and that the selected minimal number of special nodes was better capable of propagating the emergency message throughout the network.

车联网 (IoV) 通过紧急消息传输在道路安全中找到了主要应用，可帮助驾驶员在道路上做出明智的决定。然而，由于恶意节点会带来严重的挑战，特别是在高速公路交通中，信任管理对于将恶意节点从网络中排除是必不可少的。为了有效地传递紧急消息，我们根据节点的社交活动和兴趣考虑网络中节点之间的不同社区。在本文中，我们提出了一种新颖的受自然启发的森林火灾模型，用于选择网络中最少数量的广播节点以传播紧急消息。提议的模型将网络中紧急消息的传播映射到森林中野火的传播，通过对森林火灾模型的分析，建立了信息传输的关键因素。最后，所提出的模型根据节点的信任值决定是否中继消息，该信任值是使用行为参数计算的。因此，所有具有较小信任值的节点都可以被视为恶意节点，并使用信任值有效地将其排除在网络之外。进行了实验，结果表明，所提出的系统对各种网络条件具有很强的弹性，并且所选择的最少数量的特殊节点能够更好地在整个网络中传播紧急消息。因此，所有具有较小信任值的节点都可以被视为恶意节点，并使用信任值有效地将其排除在网络之外。进行了实验，结果表明，所提出的系统对各种网络条件具有很强的弹性，并且所选择的最少数量的特殊节点能够更好地在整个网络中传播紧急消息。因此，所有具有较小信任值的节点都可以被视为恶意节点，并使用信任值有效地将其排除在网络之外。进行了实验，结果表明，所提出的系统对各种网络条件具有很强的弹性，并且所选择的最少数量的特殊节点能够更好地在整个网络中传播紧急消息。