TY - JOUR
T1 - Learning automata decision analysis for sensor placement
AU - Ben-Zvi, Tal
N1 - Publisher Copyright:
© 2017, © Operational Research Society 2017.
PY - 2018/9/2
Y1 - 2018/9/2
N2 - This study investigates how to design sensor systems in a way that responds to certain factors in the environment. This decision analysis problem focuses on sensor placement: how to place sensors to find an intruder that is affected by environmental elements. The sensors we use are of two types: the first type detects targets, and the second type detects elements in the environment. Techniques from the learning automata literature are used to develop a detection mechanism. The approach proposed in this study is dynamic, and can adjust to environmental variations. And its rate of detection exceeds static approaches, such as evenly spread sensor configuration. This work has implications for the design of any sensor system in which the physical environment shapes the probability of events occurring.
AB - This study investigates how to design sensor systems in a way that responds to certain factors in the environment. This decision analysis problem focuses on sensor placement: how to place sensors to find an intruder that is affected by environmental elements. The sensors we use are of two types: the first type detects targets, and the second type detects elements in the environment. Techniques from the learning automata literature are used to develop a detection mechanism. The approach proposed in this study is dynamic, and can adjust to environmental variations. And its rate of detection exceeds static approaches, such as evenly spread sensor configuration. This work has implications for the design of any sensor system in which the physical environment shapes the probability of events occurring.
KW - Decision analysis
KW - learning automata
KW - optimisation
KW - sensor placement
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U2 - 10.1080/01605682.2017.1398205
DO - 10.1080/01605682.2017.1398205
M3 - Article
AN - SCOPUS:85049015294
SN - 0160-5682
VL - 69
SP - 1396
EP - 1405
JO - Journal of the Operational Research Society
JF - Journal of the Operational Research Society
IS - 9
ER -