An intelligent sensor network for oceanographic data acquisition

Chris Roadknight, Antonio Gonzalez, Laura Parrot, Steve Boult, Ian Marshall

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

2 Citations (Scopus)

Abstract

In this paper we describe the deployment of an offshore wireless sensor network and the lightweight intelligence that was integrated into the data acquisition and forwarding software. Although the conditions were harsh and the hardware readily available, the deployment managed to characterise an extended period due the some unique algorithms. In-situ adaptation to differences in data types, hardware condition and user requirements are demonstrated and analysis of performance carried out. 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.

Original languageEnglish
Title of host publicationAd-Hoc, Mobile, and Wireless Networks - 4th International Conference, ADHOC-NOW 2005, Proceedings
Pages235-243
Number of pages9
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event4th International Conference on Ad-Hoc, Mobile, and Wireless Networks, ADHOC-NOW 2005 - Cancun, Mexico
Duration: 6 Oct 20058 Oct 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3738 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Ad-Hoc, Mobile, and Wireless Networks, ADHOC-NOW 2005
Country/TerritoryMexico
CityCancun
Period6/10/058/10/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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