Application domain driven data visualisation framework for wireless sensor networks

Mohammad Hammoudeh*, Robert Newman, Christopher Dennett, Sarah Mount

*Corresponding author for this work

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

Abstract

Wireless sensor networks (WSNs) have an intrinsic interdependency with the environments in which they operate. The part of the world with which an application is concerned is defined as that application's domain. This paper advocates that an application domain of a WSN application can serve as a supplement to analysis, interpretation, and visualisation methods and tools. We believe it is critical to elevate the capabilities of the visualisation service, the mapping service, proposed in [1] to make use of the special characteristics of an application domain. In this paper, we propose an adaptive Multi-Dimensional Application Domain-driven (M-DAD) visualisation framework that is suitable for visualising an arbitrary number of sense modalities and other parameters of the application domain to improve the visualisation performance. M-DAD starts with an initial user defined model that is maintained and updated throughout the network lifetime. The experimental results demonstrate that M-DAD visualisation framework performs as well or better than visualisation services without its extended capabilities.

Original languageEnglish
Title of host publicationUbiquitous Intelligence and Computing - 6th International Conference, UIC 2009, Proceedings
Pages150-162
Number of pages13
DOIs
StatePublished - 2009
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5585 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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