• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

DMCA

Coverage Control for Mobile Sensing Networks (2002)

Cached

  • Download as a PDF

Download Links

  • [motion.csl.uiuc.edu]
  • [motion.me.ucsb.edu]
  • [arxiv.org]
  • [arxiv.org]
  • [faemino.ucsd.edu]
  • [tintoretto.ucsd.edu]
  • [faemino.ucsd.edu]
  • [faemino.ucsd.edu]
  • [tintoretto.ucsd.edu]
  • [faemino.ucsd.edu]
  • [motion.me.ucsb.edu]
  • [motion.me.ucsb.edu]
  • [faemino.ucsd.edu]
  • [tintoretto.ucsd.edu]
  • [motion.mee.ucsb.edu]
  • [www.seas.upenn.edu]
  • [www.seas.upenn.edu]

  • Other Repositories/Bibliography

  • DBLP
  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by Jorge Cortes , Sonia Martínez , Timur Karatas , Francesco Bullo
Citations:581 - 49 self
  • Summary
  • Citations
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@MISC{Cortes02coveragecontrol,
    author = {Jorge Cortes and Sonia Martínez and Timur Karatas and Francesco Bullo},
    title = {Coverage Control for Mobile Sensing Networks},
    year = {2002}
}

Share

Facebook Twitter Reddit Bibsonomy

OpenURL

 

Abstract

This paper presents control and coordination algorithms for groups of vehicles. The focus is on autonomous vehicle networks performing distributed sensing tasks where each vehicle plays the role of a mobile tunable sensor. The paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies. The resulting closed-loop behavior is adaptive, distributed, asynchronous, and verifiably correct.

Keyphrases

coverage control    mobile sensing network    utility function    mobile tunable sensor    optimal coverage    gradient descent algorithm    autonomous vehicle network    coordination algorithm    closed-loop behavior   

Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University