DMCA
Dial it in: Rotating rf sensors to enhance radio tomography (2014)
| Venue: | in IEEE SECON |
| Citations: | 3 - 2 self |
BibTeX
@INPROCEEDINGS{Bocca14dialit,
author = {Maurizio Bocca and Anh Luong and Neal Patwari and Thomas Schmid},
title = {Dial it in: Rotating rf sensors to enhance radio tomography},
booktitle = {in IEEE SECON},
year = {2014}
}
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Abstract
Abstract—A radio tomographic imaging (RTI) system uses the received signal strength (RSS) measured by RF sensors in a static wireless network to localize people in the deployment area, without having them to carry or wear an electronic device. This paper addresses the fact that small-scale changes in the position and orientation of the antenna of each RF sensor can dramatically affect imaging and localization performance of an RTI system. However, the best placement for a sensor is unknown at the time of deployment. Improving performance in a deployed RTI system requires the deployer to iteratively “guess-and-retest”, i.e., pick a sensor to move and then re-run a calibration experiment to determine if the localization performance had improved or degraded. We present an RTI system of servo-nodes, RF sensors equipped with servo motors which autonomously “dial it in”, i.e., change position and orientation to optimize the RSS on links of the network. By doing so, the localization accuracy of the RTI system is quickly improved, without requiring any calibration experiment from the deployer. Experiments conducted in three indoor environments demonstrate that the servo-nodes system reduces localization error on average by 32 % compared to a standard RTI system composed of static RF sensors. Keywords—Radio tomographic imaging, device-free localiza-tion, RF sensors, multipath fading I.
Keyphrases
rf sensor rti system radio tomography calibration experiment localization performance change position standard rti system received signal strength localization accuracy keywords radio tomographic imaging static wireless network servo motor radio tomographic imaging servo-nodes system multipath fading deployment area device-free localiza-tion static rf sensor localization error electronic device small-scale change indoor environment
