文章基本信息

标题：Outlier Detection Techniques for Localization in Wireless Sensor Networks: A Survey
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作者：Hala Abukhalaf ; Jianxin Wang ; Shigeng Zhang 等
期刊名称：International Journal of Future Generation Communication and Networking
印刷版ISSN：2233-7857
出版年度：2015
卷号：8
期号：6
页码：99-114
DOI：10.14257/ijfgcn.2015.8.6.10
出版社：SERSC
摘要：In wireless sensor networks (WSNs), localization is one of the most important topics because the location information is typically useful for many applications. The primary data used in a localization process include the locations of anchor nodes and the distances between neighboring nodes. However, these data may contain outliers that deviate from their true values. The existence of the outliers might make the estimated positions not accurate. Thus, it is important to detect and handle outliers in order to achieve high localization accuracy. In this paper, we survey the existing outlier detection techniques for localization in wireless sensor networks. We provide taxonomy for classifying outlier detection techniques in WSNs localization based on different features. In addition, we present comparisons of these techniques. Finally, we discuss the future research directions in this area.
关键词：Comparison; detection; localization; outlier; taxonomy; technique; WSNs; ; wireless sensor networks