Probabilistic coverage

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

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationSpringer Optimization and Its Applications
PublisherSpringer
Pages203-207
Number of pages5
DOIs
Publication statusPublished - 2020

Publication series

NameSpringer Optimization and Its Applications
Volume162
ISSN (Print)1931-6828
ISSN (Electronic)1931-6836

ASJC Scopus subject areas

  • Control and Optimization

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