基于聚类的无线传感器网络精确定位方法

Simone Sergi, F. Pancaldi, G. Vitetta
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引用次数: 1

摘要

提出了一种适用于室内环境的基于接收信号强度(RSS)的新型测距技术。提出的技术提高了基于RSS的锚点-目标距离估计的质量,该方法处理了与目标周围一簇节点辐射的信号相关的多个功率测量。描述了用于生成群集和用于获取功率测量的特定算法。仿真结果表明,在室内定位系统中,该测距方法的测距精度明显高于非合作测距策略。此外,它允许将重要的处理任务集中在有限数量的固定锚点上,从而降低维护成本,并使采用廉价和简单的便携式无线节点成为可能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cluster-Based Ranging for Accurate Localization in Wireless Sensor Neworks
In this paper a novel ranging technique based on received signal strength (RSS) and suitable to indoor scenarios is illustrated. The proposed technique improves the quality of RSS- based estimation of an anchor-target distance processing multiple power measurements associated with the signals radiated by a cluster of nodes surrounding the target. Specific algorithms for the generation of a cluster and for the acquisition of power measurements are described. Simulation results show that, when used in indoor positioning systems, the proposed ranging technique is substantially more accurate than non cooperative strategies. In addition it allows to concentrate significant processing tasks in a limited number of fixed anchors, so reducing maintenance costs and making possible to adopt cheap and simple portable wireless nodes.
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