首页> 外文会议>International Conference on Distributed Computing and Networking(ICDCN 2008); 20080105-08; Kolkata(IN) >A Location-Aided Content Searching Mechanism for Large Mobile Ad Hoc Network Using Geographic Clusters
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A Location-Aided Content Searching Mechanism for Large Mobile Ad Hoc Network Using Geographic Clusters

机译:使用地理集群的大型移动自组织网络的位置辅助内容搜索机制

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An interesting and useful application in ad hoc wireless mobile community is searching and locating information in a distributed and decentralized manner. Locating and collecting information in a highly dynamic network while minimizing the consumption of scarce resources such as bandwidth and energy is the main challenge in this domain. In this paper we present a radically new location aided content searching mechanism that can determine the location and the content as well of the information searched that incurs minimum overhead. Here we have used a stable geographically clustered network that enables us to distribute the search message in a location-aided manner. In disastrous scenarios the access of emergency information, services or resources is considered to be of special interest to the user groups. Mobile terminals are there to gather information from sensors and other sources. The location-Aided content searching mechanism discussed here is concerned with efficiently delivering this information together with the geographical location of the information to the person in the field on need basis. The mobility tolerant clusters structures are used to lower the proactive traffic while minimizing the query cost. We present results from detailed simulations that demonstrate the efficiency of our mechanism and discuss the scalability of this model to larger networks.
机译:在ad hoc无线移动社区中一个有趣且有用的应用程序是以分布式和分散的方式搜索和定位信息。在高度动态的网络中查找和收集信息,同时最大程度地减少带宽和能源等稀缺资源的消耗,是该领域的主要挑战。在本文中,我们提出了一种全新的位置辅助内容搜索机制,该机制可以确定位置和内容以及所搜索信息的开销,从而产生最小的开销。在这里,我们使用了稳定的地理集群网络,该网络使我们能够以位置辅助的方式分发搜索消息。在灾难性的情况下,紧急信息,服务或资源的访问被认为是用户组特别感兴趣的。移动终端在那里收集来自传感器和其他来源的信息。此处讨论的位置辅助内容搜索机制涉及根据需要将此信息以及信息的地理位置有效地传递给现场人员。容忍移动性的群集结构用于降低主动流量,同时将查询成本降至最低。我们从详细的模拟结果中展示了结果,这些结果证明了我们机制的效率,并讨论了该模型对更大网络的可扩展性。

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