  In this paper, we propose a Meta-IoT system to achieve ubiquitous deployment
and pervasive sensing for future Internet of Things (IoT). In such a system,
sensors are composed of dedicated meta-materials whose frequency response of
wireless signal is sensitive to environmental conditions. Therefore, we can
obtain sensing results from reflected signals through Meta-IoT devices and the
energy supplies for IoT devices can be removed. Nevertheless, in the Meta-IoT
system, because the positions of the Meta-IoT devices decide the interference
among the reflected signals, which may make the sensing results of different
positions hard to be distinguished and the estimation function should integrate
the results to reconstruct 3D distribution. It is a challenge to optimize the
positions of the Meta-IoT devices to ensure sensing accuracy of 3D
environmental conditions. To handle this challenge, we establish a mathematical
model of Meta-IoT devices' sensing and transmission to calculate the
interference between Meta-IoT devices. Then, an algorithm is proposed to
jointly minimize the interference and reconstruction error by optimizing the
Meta-IoT devices' position and the estimation function. The simulation results
verify that the proposed system can obtain a 3D environmental conditions'
distribution with high accuracy.
