TY - JOUR
T1 - Spatial-temporal modeling of background radiation using mobile sensor networks
AU - Liu, Zheng
AU - Abbaszadeh, Shiva
AU - Sullivan, Clair Julia
N1 - Funding Information:
This study was supported by the grant HDTRA 1-14-1-0011 awarded by the Defense Threat Reduction Agency
Publisher Copyright:
© 2018 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2018/10
Y1 - 2018/10
N2 - Modeling of background radiation for the urban environment plays an important role in homeland security. However, background radiation is difficult to assess due to its spatialtemporal fluctuations caused by the variation in soil composition, building materials, and weather patterns etc. To address the challenge of background radiation modeling, we developed a mobile sensor network to continuously monitor the background radiation; we also proposed a maximum likelihood estimation algorithm to decouple and estimate the background's spatial distribution and temporal fluctuation. Experimental results demonstrated how this background radiation monitoring system accurately recognized high background regions in the experimental area, and successfully captured temporal fluctuation trends of background radiation during rains. Our system provides an efficient solution to model the temporal fluctuation and spatial distribution of background radiation.
AB - Modeling of background radiation for the urban environment plays an important role in homeland security. However, background radiation is difficult to assess due to its spatialtemporal fluctuations caused by the variation in soil composition, building materials, and weather patterns etc. To address the challenge of background radiation modeling, we developed a mobile sensor network to continuously monitor the background radiation; we also proposed a maximum likelihood estimation algorithm to decouple and estimate the background's spatial distribution and temporal fluctuation. Experimental results demonstrated how this background radiation monitoring system accurately recognized high background regions in the experimental area, and successfully captured temporal fluctuation trends of background radiation during rains. Our system provides an efficient solution to model the temporal fluctuation and spatial distribution of background radiation.
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U2 - 10.1371/journal.pone.0205092
DO - 10.1371/journal.pone.0205092
M3 - Article
C2 - 30339704
AN - SCOPUS:85055076899
SN - 1932-6203
VL - 13
JO - PloS one
JF - PloS one
IS - 10
M1 - e0205092
ER -