Novel distance estimation algorithm of two-hop neighbor in wireless sensor networks

S. Choi, Joongsoo Ma
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引用次数: 1

Abstract

In case of wireless networks which does not contain a localization system, Euclidean distance between two nodes those are out of carrier sensing range each other cannot be measured with ranging techniques such as RSSI, ToA, and TDoA since they are not able to communicate directly. To deal with this issue, range-free schemes like a hop-count based approach and a connectivity based approach were used. These methods, however, are decreased in accuracy at low node density networks, so it is hard to apply to other wireless network except the densely deployed sensor networks. In this paper, we present a novel distance estimation method. When two nodes are in 2-hop neighbor relation, our method can estimate a distance using ranging information of their overlapped neighbors and connectivity information. Simulation results show that the proposed method outperforms hop count based and connectivity based distance estimation methods.
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无线传感器网络中新的两跳邻居距离估计算法
在不包含定位系统的无线网络中,由于无法直接通信,因此无法使用RSSI、ToA、TDoA等测距技术测量彼此不在载波感知范围内的两个节点之间的欧氏距离。为了解决这个问题,使用了基于跳数的方法和基于连通性的方法等无距离方案。然而,这些方法在低节点密度的网络中精度降低,因此很难应用于除密集部署的传感器网络之外的其他无线网络。本文提出了一种新的距离估计方法。当两个节点处于2跳邻居关系时,我们的方法可以利用它们重叠邻居的距离信息和连通性信息来估计距离。仿真结果表明,该方法优于基于跳数和基于连通性的距离估计方法。
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