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POST: Exploiting Dynamic Sociality for Mobile Advertising in Vehicular Networks

机译:POST:在车载网络中利用动态社交来发展移动广告

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Mobile advertising in vehicular networks is of great interest with which timely information can be fast spread into the network. Given a limited budget for hiring seed vehicles, how to achieve the maximum advertising coverage within a given period of time is NP-hard. In this paper, we propose an innovative scheme, POST, for mobile advertising in vehicular networks. The POST design is based on two key observations we have found by analyzing three large-scale vehicular traces. First, vehicles demonstrate dynamic sociality in the network; second, such vehicular sociality has strong temporal correlations. With the knowledge, POST uses Markov chains to infer future vehicular sociality and adopts two greedy heuristics to select the most “centric” vehicles as seeds for mobile advertising. Extensive simulations based on three real data sets of taxi and bus traces have been carried out. The results show that POST can greatly improve the coverage and the intensity of advertising. For all the three involved data sets, it achieves an average gain of 64 percent comparing with the state-of-art schemes.
机译:车载网络中的移动广告引起了人们极大的兴趣,通过它可以将及时的信息快速传播到网络中。鉴于租用种子车的预算有限,如何在给定的时间内获得最大的广告覆盖率是一个难题。在本文中,我们为车辆网络中的移动广告提出了一种创新方案POST。 POST设计基于我们通过分析三个大型车辆迹线发现的两个关键观察结果。首先,车辆在网络中表现出动态的社交性;第二,这种车辆的社会性具有很强的时间相关性。有了这些知识,POST使用Markov链来推断未来的车辆社交性,并采用两种贪婪启发式方法来选择最“中心”的车辆作为移动广告的种子。已经基于出租车和公交车轨迹的三个真实数据集进行了广泛的仿真。结果表明,POST可以大大提高广告的覆盖率和强度。对于所有三个涉及的数据集,与最新方案相比,它的平均收益为64%。

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