Learning automata decision analysis for sensor placement

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1396-1405
Number of pages10
JournalJournal of the Operational Research Society
Volume69
Issue number9
DOIs
StatePublished - Sep 2 2018

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Decision theory
Sensors
Decision analysis
Sensor
Automata
Placement

All Science Journal Classification (ASJC) codes

  • Marketing
  • Management Information Systems
  • Strategy and Management
  • Management Science and Operations Research

Cite this

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Learning automata decision analysis for sensor placement. / Ben-Zvi, Tal.

In: Journal of the Operational Research Society, Vol. 69, No. 9, 02.09.2018, p. 1396-1405.

Research output: Contribution to journalArticle

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