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Distributed Geometric Distance Estimation in Ad Hoc Networks

机译:Ad Hoc网络中的分布式几何距离估计。

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Distributed localization algorithms for nodes in ad hoc networks are essential for many applications. A major task when localizing nodes is to accurately estimate distances. So far, distance estimation is often based on counting the minimum number of nodes on the shortest routing path (hop count) and presuming a fixed width for one hop. This is prone to error as the length of one hop can vary significantly. In this paper, a distance estimation method is proposed, which relies on the number of shared communication neighbors and applies geometric properties to the network structure. It is shown that the geometric approach provides reliable estimates for the distance between any two adjacent nodes in a network. Experiments reveal that the estimation has less relative percentage error compared to a hop based algorithm in networks with different node distributions.
机译:ad hoc网络中节点的分布式本地化算法对于许多应用程序至关重要。定位节点时的主要任务是准确估计距离。到目前为止,距离估计通常基于对最短路由路径上的最小节点数(跳数)进行计数,并假定一跳的宽度固定。由于一跳的长度可能会发生很大变化,因此容易出错。本文提出了一种距离估计方法,该方法依赖于共享通信邻居的数量,并将几何属性应用于网络结构。结果表明,几何方法为网络中任何两个相邻节点之间的距离提供了可靠的估计。实验表明,与具有不同节点分布的网络中基于跳的算法相比,该估计具有较小的相对百分比误差。

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