  This paper studies the problem of integrated distributed network localization
and formation maneuver control. We develop an integrated
relative-measurement-based scheme, which only uses relative positions,
distances, bearings, angles, ratio-of-distances, or their combination to
achieve distributed network localization and formation maneuver control in
$\mathbb{R}^d (d \ge 2)$. By exploring the localizability and invariance of the
target formation, the scale, rotation, and translation of the formation can be
controlled simultaneously by only tuning the leaders' positions, i.e., the
followers do not need to know parameters of the scale, rotation, and
translation of the target formation. The proposed method can globally drive the
formation errors to zero in finite time over multi-layer $d\!+\!1$-rooted
graphs. A simulation example is given to illustrate the theoretical results.
