具有成对节点覆盖的细粒度定位

Xiaoguang Li, Jie Wu
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引用次数: 3

摘要

定位是无线传感器网络设计中的一个重要问题。在本文中,我们将重点讨论在考虑覆盖和精度的情况下进行定位的传感器部署。我们的配对定位模式只需要目标的两个覆盖信息。有了这个信息,这个位置有两种可能。为了确定正确的位置,设计了具有规则模式的最小节点部署和自适应序列定位算法(ASL)。该算法能够以最小的代价精确定位监控区域内的节点。此外,我们扩展了我们的结果与噪声模型,并提供了部署问题的分析。仿真结果表明,与传统的三角定位方法和其他定位方法相比,该策略可以实现能量最小,寿命最长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fine-Grained Localization with Pairwise Nodes Coverage
Localization is an important design issue in wireless sensor networks. In this paper, we will focus on the sensor deployment for localization with the consideration of coverage and accuracy. Our pairwise localization pattern requires the information of only two coverages for the target. With this information, there are two possibilities of the position. In order to determine the correct location, we design minimum node deployment with regular pattern and an adaptive sequence based localization algorithm (ASL). The proposed ASL algorithm could accurately localize the node in the monitoring area with minimum cost. Also, we extend our results with the noisy model and provide an analysis of the deployment issue. The simulation results show that compared with the traditional triangular and other localization methods, our strategy can achieve the minimum energy, and maximum lifetime.
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