基于期望跳数的无线传感器网络定位算法

Yun Wang, Xiaodong Wang, Demin Wang, D. Agrawal
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引用次数: 23

摘要

在本文中,我们提出了一种新的定位算法,利用期望跳进度(LAEP)来预测WSNs中传感器节点的位置。我们的算法是基于一个给定网络拓扑的跳进度分析模型。通过从模型中导出节点连通性与期望跳数之间的关系,可以精确计算任意两个节点之间的距离。由于距离估计是无线传感器网络定位系统的关键问题,我们的基于期望跳数进度的定位算法在锚点很少的情况下也能取得合理的性能。此外,我们还考虑了当传感器随机部署时,确定性锚点放置对算法性能的影响。本文研究了锚节点的网格和三角形布置。仿真结果与理论分析吻合较好,验证了所提方案LAEP的有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Localization Algorithm using Expected Hop Progress in Wireless Sensor Networks
In this paper, we propose a novel localization algorithm using expected hop progress (LAEP) to predict the positions of sensor nodes in WSNs. Our algorithm is based on a hop progress analytical model for a given network topology. By deriving relationship between node connectivity and expected-hop progress from the model, the distance between any two nodes can be accurately computed. As the distance estimation is a key issue in positioning system of WSNs, our expected-hop progress based localization algorithm also achieves reasonable performance in anchor-based WSNs with very few anchors. In addition, we considered the impact of deterministic anchor placement on the algorithm performance when the sensors are random deployed. Both grid and triangular placement of anchor nodes have been examined in this paper. Simulation results are seen to be in good agreement with the theoretical analysis and substantiate the validity of our proposed scheme LAEP
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