期刊名称：International Journal of Distributed Sensor Networks
印刷版ISSN：1550-1329
电子版ISSN：1550-1477
出版年度：2013
卷号：2013
DOI：10.1155/2013/429065
出版社：Hindawi Publishing Corporation
摘要：Sensor network positioning systems have been
extensively studied in recent years. Most of the systems share
a common assumption that some known-position anchor nodes
have existed. However, a more fundamental question is always
being overlooked, that is, how to acquire the anchor's position.
In general, GPS-based measures and the artificial calibration
are two dominant methods to acquire anchor positions. Due
to the high energy cost and failures in occlusion regions of
the GPS modules, the artificial calibration method is adopted
extensively. Nevertheless, numerous disadvantages of the artificial
calibration, such as the expensive labor cost and error-prone
features, also make it hard to be an efficient solution for
the anchor positioning. For this reason, we design an efficient
mapping algorithm between anchors and their positions (MD-SKM)
to avoid the complicated artificial calibration. Additionally,
we propose a best feature matching (BFM) method to
further relax the restriction of MDS-KM where three or more
calibrated anchors are needed. We evaluate our MDS-KM
algorithm under various topologies and connectivity settings.
Experiment results show that at a slightly higher connectivity
level, our algorithm can achieve the exactly correct matching
between anchors and their positions without any calibrated
anchors.
