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MULTIPLE-ATTRIBUTES CLASSIFIERS-BASED BROADCAST SCHEME FOR VEHICULAR AD-HOC NETWORKS

机译:车辆自组织网络的基于多属性分类器的广播方案

摘要

A multiple-attributes, classifiers-based, broadcast scheme for use in vehicular ad-hoc networks may be employed to assess numerous attributes in order to accurately and effectively determine an appropriate rebroadcast decision for a message received by a vehicle. Various schemes may be employed, comprising one classifier module, or a plurality of classifier modules used in parallel and in accordance with a combination rule function, to effectively examine the attributes contained within a received message and select an appropriate rebroadcast decision, thereby increasing the performance of the vehicular ad-hoc network as a whole. The performance of the broadcast scheme may further be analyzed in a simulation, whereby certain values, such as probability values to be used in the broadcast scheme, may be determined.
机译:可以采用在车辆自组织网络中使用的基于多属性,基于分类器的广播方案来评估众多属性,以便为车辆接收的消息准确而有效地确定适当的重播决策。可以采用各种方案,包括一个分类器模块,或根据组合规则函数并行使用的多个分类器模块,以有效地检查接收到的消息中包含的属性并选择适当的重播决策,从而提高性能整个车辆自组织网络。可以在仿真中进一步分析广播方案的性能,从而可以确定某些值,例如要在广播方案中使用的概率值。

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