Deployment Optimization for Meta-material Based Internet of Things

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 passive meta-materials whose frequency response for wireless signals is sensitive to environmental conditions. Therefore, we can remove the energys-suppliers in the future IoT by obtaining sensing results from the reflected signals of Meta-IoT devices. Nevertheless, it remains a challenge to reconstruct 3D environmental condition distributions by using the Meta-IoT system. Because of the interferences among the reflected signals, it requires the optimization of the deployment of the meta-IoT devices to ensure the sensing accuracy. 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 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.