Directional-Sensor Network Deployment Planning for Mobile-Target Search. Wasim, S., Kashino, Z., Nejat, G., & Benhabib, B. Robotics, 9(4):82, December, 2020. ![Directional-Sensor Network Deployment Planning for Mobile-Target Search [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 2 downloads In this paper, a novel time-phased directional-sensor network deployment strategy is presented for the mobile-target search problem, e.g., wilderness search and rescue (WiSAR). The proposed strategy uses probabilistic target-motion models combined with a variation of a standard direct search algorithm to plan the optimal locations of directional-sensors which maximize the likelihood of target detection. A linear sensing model is employed as a simplification for directional-sensor network deployment planning, while considering physical constraints, such as on-time sensor deliverability. Extensive statistical simulations validated our method. One such illustrative experiment is included herein to demonstrate the method’s operation. A comparative study was also carried out, whose summary is included in this paper, to highlight the tangible improvement of our approach versus three traditional deployment strategies: a uniform, a random, and a ring-of-fire type deployment, respectively.
@article{wasim_directional-sensor_2020,
title = {Directional-{Sensor} {Network} {Deployment} {Planning} for {Mobile}-{Target} {Search}},
volume = {9},
copyright = {http://creativecommons.org/licenses/by/3.0/},
url = {https://www.mdpi.com/2218-6581/9/4/82},
doi = {10.3390/robotics9040082},
abstract = {In this paper, a novel time-phased directional-sensor network deployment strategy is presented for the mobile-target search problem, e.g., wilderness search and rescue (WiSAR). The proposed strategy uses probabilistic target-motion models combined with a variation of a standard direct search algorithm to plan the optimal locations of directional-sensors which maximize the likelihood of target detection. A linear sensing model is employed as a simplification for directional-sensor network deployment planning, while considering physical constraints, such as on-time sensor deliverability. Extensive statistical simulations validated our method. One such illustrative experiment is included herein to demonstrate the method\’s operation. A comparative study was also carried out, whose summary is included in this paper, to highlight the tangible improvement of our approach versus three traditional deployment strategies: a uniform, a random, and a ring-of-fire type deployment, respectively.},
language = {en},
number = {4},
urldate = {2020-10-15},
journal = {Robotics},
author = {Wasim, Shiraz and Kashino, Zendai and Nejat, Goldie and Benhabib, Beno},
month = dec,
year = {2020},
keywords = {directional-sensors, mobile-target search, sensing models, time-phased sensor delivery},
pages = {82},
}
Downloads: 2
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