  In order to make a proper reaction to the collected information from internet
of things (IoT) devices, location information of things should be available at
the data center. One challenge for the massive IoT networks is to identify the
location map of whole sensor nodes from partially observed distance
information. In this paper, we propose a matrix completion based localization
algorithm to reconstruct the location map of sensors using partially observed
distance information. From the numerical experiments, we show that the proposed
method based on the modified conjugate gradient is effective in recovering the
Euclidean distance matrix.
