Skip to main navigation Skip to search Skip to main content

Real-time gas cloud detection by data aggregation in networks of embedded sensors

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Many applications must identify in real-time the physical position of gas clouds. This paper presents a gas cloud detection method based on grids of reconfigurable Neural Networks. Data aggregation at intermediate nodes is performed to reduce the amount of data communications. Experiments compare the performance of the proposed method and traditional, centralized approaches.

Original languageEnglish
Title of host publication2010 IEEE International Systems Conference Proceedings, SysCon 2010
Pages211-216
Number of pages6
DOIs
StatePublished - 2010
Event4th International Systems Conference, SysCon 2010 - San Diego, CA, United States
Duration: Apr 5 2010Apr 8 2010

Publication series

Name2010 IEEE International Systems Conference Proceedings, SysCon 2010

Conference

Conference4th International Systems Conference, SysCon 2010
Country/TerritoryUnited States
CitySan Diego, CA
Period04/5/1004/8/10

Fingerprint

Dive into the research topics of 'Real-time gas cloud detection by data aggregation in networks of embedded sensors'. Together they form a unique fingerprint.

Cite this