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application
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Han
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X
many：TechnicalReport：LSIR-．REPORT一2006-006，2006
node
in
heterogeneous
placement
CHENSong—Can，born in
GU
in 1983，Ph．D．
Jing-Jing，born
1962，professor，Ph．D．su—
candidate．Her research interests include
research interests include neural
computation，
pervisor．His
wireless sensor
network，pattern recog—
pattern recognition，data mining．
ZHUANGYi，born in
nition．
1956，professor，Ph．D．supervi—
sot．Her research interests include information
safety，dis-
tributed
network．
computing，computer
Background
This
the wirelesg sensor network
10calization
This
research was
supported by
focuses on
algorithms．
paper
National Natural Science
(WSN)一based localization
in The Internet of
technique
of WSNhas been
of the founds-
Foundation of China(NSFC) (60773061)，Aeronautics In-
National
novation Fund(2009一042一004) and the
localization
Things．The
Tech—
High
tional functions and obtained
accuracies in some
satisfactory
the collected
re—
Research and
nology
environments．However，someof
data easily
Development Program(863 Program)
NSFC has
(2008AA706103)．The
LPCCA
designed
sult in
data with biases due to the network at’
large
obstacles，network
faulty
project
model which built solid fundament for
environments and hardware
for localization．The lo—
LE—RLPC—
localization
studying
were
applying
tacks，large
model．The latter two
CA
errors，which brings big challenge
calization research in such
Herein，the authors
projects
few．
models and
of wireless sensor network(WSN)in
scenario is still relatively
novel localization
algorithms
the Internet of of this
Things．Results
re—
to
study partially
try
develop
algo—
this
the
in—
to—
solved the structural
Internet of
of localization
in WSN—
local-
target
rithm to solve
density
design
systems
problem，by characterizing
some issues of the
Things。and
formation of data distribution with
based
sufficiently exploiting
in
Internet of
Things
it as Location Estima—
ization model andlocalization
structures in WSN，and name
algorithm
pology
data．The team has
severnl re-
tion-Robust
Canonical Correlation Anal—
containing faulty
Locality Preserving
published
results in realistic envi—
search articles and scientific
in WSN localization．as
two
software＆hard—
reports
ysis(LE-RLPCCA)．Experimental
in reference．and
described
ronments show that LE-RLPCCAachieves
robust and
higher
developed
advanced
ware achievements．
for
data than other available
publicly
stability
faulty
万方数据
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