An association model of sensor properties for event diffusion spotting sensor networks

Xiaoning Cui, Qing Li, Baohua Zhao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Recent years of research on sensor networks have resulted in multi-scale processing techniques for sensor data mining able to reflect the dynamic nature of real-world context. However, few of these techniques provide a systematic view of the relationships between sensor data streams and correlated network behaviors. In this paper, an association model of inherent, data and network properties is presented and analyzed for a suite of event diffusion spotting applications. Based on the associated model, window-based in-network cooperation is conducted for sensitive event diffusion spotting. Experimental results verify the performance of our approach, and confirm the scalability of our association perspective of sensor properties in such event diffusion spotting networks.

Original languageEnglish
Title of host publicationProgress in WWW Research and Development - 10th Asia-Pacific Web Conference, APWeb 2008, Proceedings
Pages178-189
Number of pages12
DOIs
Publication statusPublished - 22 May 2008
Externally publishedYes
Event10th Asia Pacific Conference on Web Technology, APWeb 2008 - Shenyang, China
Duration: 26 Apr 200828 Apr 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4976 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th Asia Pacific Conference on Web Technology, APWeb 2008
CountryChina
CityShenyang
Period26/04/0828/04/08

Keywords

  • Association model
  • Correlation
  • Diffusing event
  • In-network cooperation
  • Sensor property

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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