| 摘要(英) |
Localization is one of the fundamental services in wireless sensor networks. Many
applications, such as environmental monitoring and trac control, rely on the avail-
ability of location information for wireless sensors. Among all types of localization
techniques, the Radio Interferometric Positioning System (RIPS) is promising due
to its high accuracy and low hardware requirements. However, when RIPS is ap-
plied to a large-scale wireless sensor network, at times the RIPS measurements may
lead to ambiguous positioning for a free node, i.e., there may be more than one pos-
sible position for a free node. If the free node is assigned an incorrect location, the
error will be propagated to other free nodes, leading to increasing localization errors
in the network. In this thesis, a localization algorithm is proposed which utilizes
redundant location information from multiple cases to identify the true location of
free nodes. The proposed algorithm is fully distributed, and the extra overhead
is paid only when the ambiguity issue occurs. The simulation results demonstrate
that the proposed algorithm is able to localize more than 90% of the free nodes with
adequate node density or enough number of anchors. |
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