Title
Dial it in: Rotating RF sensors to enhance radio tomography
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.
Year
DOI
Venue
2014
10.1109/SAHCN.2014.6990400
Sensing, Communication, and Networking
Keywords
Field
DocType
RSSI,position measurement,radio links,sensor placement,wireless sensor networks,RSS,RTI system,calibration experiment,deployment area,electronic device,localization error reduction,network links,radio tomographic imaging enhancement,received signal strength,rotating RF sensor,sensor localization accuracy,sensor placement,servo motors,servo-node system,static RF sensor,static wireless network,RF sensors,Radio tomographic imaging,device-free localization,multipath fading
Multipath propagation,Device free localization,Computer science,Computer network,Tomography,Computer hardware,Dial,Embedded system
Conference
Volume
ISSN
Citations 
abs/1312.5480
2473-0440
8
PageRank 
References 
Authors
0.46
17
4
Name
Order
Citations
PageRank
Maurizio Bocca127416.62
A. Luong280.46
Neal Patwari33805241.58
Thomas Schmid480.46