Probabilistic coverage

Weili Wu; Zhao Zhang; Wonjun Lee; Ding Zhu Du

doi:10.1007/978-3-030-52824-9_13

Probabilistic coverage

Weili Wu, Zhao Zhang, Wonjun Lee, Ding Zhu Du

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Previously, we consider that the state of a sensor covering targets is in binary mode: success (cover the targets) or fail (cannot cover the targets). However in the real world, a sensor covers targets with a certain probability, called the Probabilistic coverage, due to various issues which cause the uncertainty and form various probabilistic models, including the probabilistic network model, the probabilistic sensing model, the random noise model, the random fault model, etc. About probabilistic coverage, there is a quite long survey. Here, we introduce this subject briefly. The reader may refer the survey if would like to study more.

Original language	English
Title of host publication	Springer Optimization and Its Applications
Publisher	Springer
Pages	203-207
Number of pages	5
DOIs	https://doi.org/10.1007/978-3-030-52824-9_13
Publication status	Published - 2020

Publication series

Name	Springer Optimization and Its Applications
Volume	162
ISSN (Print)	1931-6828
ISSN (Electronic)	1931-6836

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2020.

ASJC Scopus subject areas

Control and Optimization

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10.1007/978-3-030-52824-9_13

Cite this

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abstract = "Previously, we consider that the state of a sensor covering targets is in binary mode: success (cover the targets) or fail (cannot cover the targets). However in the real world, a sensor covers targets with a certain probability, called the Probabilistic coverage, due to various issues which cause the uncertainty and form various probabilistic models, including the probabilistic network model, the probabilistic sensing model, the random noise model, the random fault model, etc. About probabilistic coverage, there is a quite long survey. Here, we introduce this subject briefly. The reader may refer the survey if would like to study more.",

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Probabilistic coverage

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