中文摘要：

移动广告的分发效果对于广告商和用户来说都是相当重要的事情.目前对于高效率的广告分发特别是对用户的轨迹和预算的研究较为匮乏.为了获得有效可行的移动广告分发策略,提出了以位置为中心的移动众包网络的概念,代替传统的以用户为中心的网络和平台,其中,位置信息对于广告分发起到至关重要的作用.为此重点研究考虑有兴趣区域的覆盖（interested area coverage,IAC）策略下的移动广告用户选择问题.对于以位置为中心的研究需要考虑每个用户的时空特性,并需要有效地计算有兴趣的覆盖区域,资金预算的约束使这一问题更加难以解决.为应对上述挑战,首先,考虑到对位置敏感的移动广告应用程序时,提出了被证明是NP-hard的有预算约束的用户选择问题;其次,对问题的子模特性进行了探究,提出了一个简单而有效的具有近似比为（1-1e）的启发式算法;最后,大量的仿真结果表明,该方案使移动广告的传播效应有效提高了120%.

英文摘要：

The distribution efficiency of mobile advertising is extremely important for both advertisers and users.Few studies have been conducted on efficient ad delivery,especially user tracing and the budget.In order to obtain a feasible and effective mobile advertising distribution policy,the concept of location-centric mobile crowd sourcing network was presented to replace the traditional user-centric networks and platforms,in which the location information for advertizing distribution plays a crucial role.Therefore,the user selection under the interested area coverage（interested area coverage,IAC）region was mainly focused upon.However,research centering on location information we need requires the consideration of the temporal characteristics of each user,and effective calculation of the ICA.The problem will be more difficult to solve when considering the budget constraint.To address these challenges,considering thelocation sensitive mobile advertising applications,and a user selection solution was proposed,which was proved to be an NP-hard budget-constrained problem.Then,the submodularity problem was explored and a simple and effective heuristic was presented whose approximate ratio is（1-1e）.A large number of simulation results indicate that our solution improved the propagation effect of mobile advertising effectively by 120%.