A review of localization algorithms for distributed wireless sensor networks in manufacturing
A review of localization algorithms for distributed wireless sensor networks in manufacturing
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DOI：
10.1080/09511920601182217
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发表时间：
2009-07-01
影响因子：
4.1
通讯作者：
Mastrogiacomo, L.
中科院分区：
文献类型：
--
作者：
Franceschini, F.;Galetto, M.;Mastrogiacomo, L.
无线传感器网络通常由大量密集分布的传感器节点组成。由于集成电路和无线电技术的重要进步，分布式传感器网络的使用在各种应用中变得越来越广泛，例如室内导航、环境监测、人和物体跟踪、物流、工业诊断、质量控制和其他制造活动。在许多情况下，例如在对象跟踪中，知道网络节点的物理位置是必不可少的。定位无线传感器网络的元素并不是一项简单的任务。手动方法令人厌烦，而且可能不准确，特别是对于大规模网络。因此，许多自我定位的方法-其中节点相互合作，没有人类参与-最近被研究和实现。这项工作的目的是分析分布式无线传感器网络的自动定位的最重要的方法。本文的第一部分描述了用于对现有网络定位算法进行分类的最常见标准。分类，然后建议，可能是一个有用的工具，以帮助评估，比较和选择这样的算法。五个最具代表性的算法进行了详细的解释和讨论，以确定其优点和局限性。
Wireless sensor networks (WSNs) typically consist of a large number of densely populated sensor nodes. Due to important advances in integrated circuits and radio technologies, the use of distributed sensor networks is becoming increasingly widespread for a variety of applications, e.g. indoor navigation, environmental monitoring, people and object tracking, logistics, industrial diagnostics, quality control, and other manufacturing activities. In many cases, such as in objects tracking, knowing the physical location of network nodes is essential. Locating elements of WSNs is not it trivial task. Manual methods are wearisome and may be inaccurate, especially for large-scale networks. Therefore, many self-locating methods - where nodes cooperate with each other without human involvement - have recently been Studied and implemented. The purpose of this work is to analyse the most significant methods for automatic location of distributed WSNs. The first part of the paper provides a description of the most common criteria used to categorize existing network localization algorithms. A taxonomy is then suggested that may be a useful tool to help evaluate, compare and select such algorithms. Five of the most representative algorithms are explained and discussed in detail in order to identify their strong points and their limitations.