The wireless network has been utilized for several purposes in modern information world. Among them, the data collection and service access has been identified as key issue. As the services in wireless networks accessed through different intermediate nodes, it is necessary to consider various factors like route, traffic condition, throughput, latency and so on. Also, the location based service selection (LSS) has been identified as keen challenge in accessing any service. According to this, number of methods discussed earlier but no such method exists which achieve expected performance. To improve the performance, an efficient mobility aware directional service fetching algorithm (MADSF) is presented in this paper. The algorithm performs lookup about different services available around the user location. By fetching the trust are relation on verified route selection represents the directional approach based on the services identified, services present in the direction of user and estimates data pickup rate (DPR) for each service based on different properties of the route and service. Finally, user selected the current meet by the point single service selection and produces result to the user. The proposed MADSF-DPR algorithm improves service selection by the point of location aided service selection process and throughput in wireless networks.

在现代信息世界中，无线网络已被用于多种目的。其中，数据收集和服务访问已被确定为关键问题。由于无线网络中的服务是通过不同的中间节点访问的，因此有必要考虑各种因素，例如路由，流量状况，吞吐量，等待时间等。同样，基于位置的服务选择（LSS）已被确定为访问任何服务时的严峻挑战。据此，前面讨论了许多方法，但是不存在达到预期性能的方法。为了提高性能，本文提出了一种有效的移动感知定向服务获取算法（MADSF）。该算法执行有关用户位置周围可用的不同服务的查找。通过获取信任关系，经过验证的路由选择代表基于所标识的服务的定向方法，存在于用户方向的服务，并根据路由和服务的不同属性估算每个服务的数据提取率（DPR）。最后，用户通过单点服务选择来选择当前满足条件并向用户产生结果。提出的MADSF-DPR算法通过定位辅助服务选择过程和无线网络中的吞吐量改进了服务选择。用户通过单点服务选择来选择当前会议并向用户产生结果。提出的MADSF-DPR算法通过定位辅助服务选择过程和无线网络中的吞吐量改进了服务选择。用户通过单点服务选择来选择当前满足条件并向用户产生结果。所提出的MADSF-DPR算法通过定位辅助服务选择过程和无线网络中的吞吐量改进了服务选择。