A layered approach to in situ data management on a wireless sensor network

Chris Roadknight, Laura Parrott, Nathan Boyd, Ian W. Marshall

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

10 Citations (Scopus)

Abstract

A multi-layered algorithm is proposed that provides a scalable and adaptive method for handling data on a wireless sensor network. Statistical tests, local feedback and global genetic style material exchange ensure limited resources such as battery and bandwidth are used efficiently by manipulating data at the source and important features in the time series are not lost when compression needs to be made. The approach leads to a more 'hands off' implementation which is demonstrated by a real world oceanographic deployment of the system.

Original languageEnglish
Title of host publicationProceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
EditorsM. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa, M. Palaniswami, B. Krishnamachari, A. Sowmya, S. Challa
Pages85-90
Number of pages6
Publication statusPublished - 2004
Externally publishedYes
Event2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04 - Melbourne, Australia
Duration: 14 Dec 200417 Dec 2004

Publication series

NameProceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04

Conference

Conference2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04
Country/TerritoryAustralia
CityMelbourne
Period14/12/0417/12/04

ASJC Scopus subject areas

  • General Engineering

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