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首页> 外文期刊>Journal of Parallel and Distributed Computing >Peer-to-peer bichromatic reverse nearest neighbours in mobile ad-hoc networks
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Peer-to-peer bichromatic reverse nearest neighbours in mobile ad-hoc networks

机译:移动自组织网络中对等双色反向最近邻居

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The increasing use of mobile communications has raised many issues of decision support and resource allocation. A crucial problem is how to solve queries of Reverse Nearest Neighbour (RNN). An RNN query returns all objects that consider the query object as their nearest neighbour. Existing methods mostly rely on a centralised base station. However, mobile P2P systems offer many benefits, including self-organisation, fault-tolerance and load-balancing. In this study, we propose and evaluate 3 distinct P2P algorithms focusing on bichromatic RNN queries, in which mobile query peers and static objects of interest are of two different categories, based on a time-out mechanism and a boundary polygon around the mobile query peers. The Brute-Force Search Algorithm provides a naive approach to exploit shared information among peers whereas two other Boundary Search Algorithms filter a number of peers involved in query processing. The algorithms are evaluated in the MiXiM simulation framework with both real and synthetic datasets. The results show the practical feasibility of the P2P approach for solving bichromatic RNN queries for mobile networks.
机译:移动通信的日益使用引起了决策支持和资源分配的许多问题。一个关键问题是如何解决反向最近邻居(RNN)的查询。 RNN查询返回所有将查询对象视为其最近邻居的对象。现有方法主要依赖于集中式基站。但是,移动P2P系统具有许多优点,包括自组织,容错和负载平衡。在这项研究中,我们提出并评估了三种针对双色RNN查询的独特P2P算法,其中基于超时机制和围绕移动查询对等体的边界多边形,移动查询对等体和感兴趣的静态对象属于两个不同的类别。蛮力搜索算法提供了一种幼稚的方法来利用对等点之间的共享信息,而其他两种边界搜索算法则过滤了查询处理中涉及的许多对等点。在MiXiM仿真框架中使用真实和合成数据集对算法进行评估。结果表明,P2P方法解决移动网络双色RNN查询的实际可行性。

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