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An Urban Area-Oriented Traffic Information Query Strategy in VANETs

机译:vanets面向城市面向的交通信息查询策略

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Traffic information query in Vehicular Ad Hoc Network has various significant applications. Real-time traffic information can provide support for users to choose an optimal route according to current traffic situation. In this paper, we propose an urban area-oriented traffic information query processing mechanism, which can acquire the real-time traffic information of multiple paths from source to destination in relatively fast and accurate manner, and help users to determine an optimal route. The proposed mechanism includes two key algorithms - query dissemination and processing, and routing results backward to query requester. The query processing algorithm determines the scope of each query, so that a vehicle can query and collect data within a certain efficient scope to avoid returning overwhelmed large amount results. For queried vehicles, returning results to the moving query requester is a dynamic routing problem. We proposed a position predicting method to estimate the current location of the requester according to the information stored in the query packet. Simulation results show that the proposed strategy can improve the efficiency of data transmission, and the returned query results is effective for choosing an optimal route.
机译:在车载自组织网络流量信息查询有各种显著的应用。实时交通信息能够提供支持,用户可以根据当前的交通状况选择最佳路线。在本文中,我们提出了一个城市面向区域的交通信息查询处理机制,可以从源获得的多条路径的实时交通信息,目的地相对快速和准确的方式,帮助用户确定最佳路线。所提出的机制包括两个密钥算法 - 查询传播和处理,以及路由结果向后查询请求者。查询处理算法确定每个查询的范围,从而使车辆可以查询和一定有效范围内收集数据,以避免返回淹没大量结果。对于查询车辆,返回结果到移动查询请求是一个动态的路由问题。我们提出了一个位置预测方法,根据存储在所述查询分组中的信息来估计所述请求者的当前位置。仿真结果表明,该策略能够提高数据传输的效率,并且返回的查询结果是有效的选择最佳路线。

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