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An Efficient Geo-aware Peer-to-Peer Resource Discovery and Sharing Scheme in Vehicular Ad-hoc Networks

机译:车载Ad-hoc网络中一种高效的Geo-aware对等资源发现和共享方案

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Vehicles may move at high speed in vehicular ad-hoc networks (VANETs) and the network topology changes arbitrarily as the nodes move. Vehicles may not find suitable resources because sharing information could quickly become obsolete or irrelevant resources. This paper proposes an efficient geo-aware Peer-to-Peer (P2P) search mechanism to enable resource discovery and sharing in VANETs. We propose discovery and sharing schemes based on the virtual backbone architecture, and then limit the data exchanging region to reduce unnecessary message transmissions. Because the resource node changes very fast, the coordinator must be set to maintain the local node of geographic information in the network. In this scheme, coordinators are established to store information and manage local resource information. In order to ensure dissemination performance, it must guarantee that vehicles possess enough resource pieces to allow efficient bartering. Furthermore, three kinds of piece selection mechanisms, including Nearest-First, Rarest-First, and In-Order are proposed to download resource pieces from other vehicles and to improve the dissemination efficiency. Experiment results demonstrate that our searching and sharing schemes are efficient and outperforms other schemes in terms of satisfactory ratio and download time.
机译:车辆可能在车辆自组织网络(VANET)中高速移动,并且网络拓扑随着节点的移动而任意改变。车辆可能找不到合适的资源,因为共享信息会很快变得过时或不相关。本文提出了一种有效的地理感知对等(P2P)搜索机制,以实现VANET中的资源发现和共享。我们提出了基于虚拟骨干架构的发现和共享方案,然后限制数据交换区域以减少不必要的消息传输。由于资源节点变化非常快,因此必须设置协调器以维护网络中地理信息的本地节点。在此方案中,建立了协调器来存储信息并管理本地资源信息。为了确保传播性能,它必须保证车辆拥有足够的资源,以进行有效的物物交换。此外,提出了三种片段选择机制,包括近来优先,稀有优先和按顺序排列,以从其他车辆下载资源片段并提高传播效率。实验结果表明,我们的搜索和共享方案在令人满意的比率和下载时间方面均优于其他方案。

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