IS_SDM: An in-network semantic sensor data model

Kin Wah Chow, Qing Li

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

3 Citations (Scopus)

Abstract

Sensor nodes have been always acting only as a data collector inside wireless sensor networks. They usually perform energy-aware routing independently from the properties of collected sensed data. Such sensed data is interpreted into useful context information at the gateway after a great time lag and the sensors cannot respond to sudden events very rapidly. In this paper, we introduce the In-network Semantic Sensor Data Model (IS_SDM) which can provide sensor nodes with context-awareness and also energy consumption consideration. Sensor nodes can be more intelligent in adapting to ambient changes while data collection can be achieved more efficiently.

Original languageEnglish
Title of host publicationProceedings of the 2007 ACM Symposium on Applied Computing
Pages959-960
Number of pages2
DOIs
Publication statusPublished - 18 Oct 2007
Externally publishedYes
Event2007 ACM Symposium on Applied Computing - Seoul, Korea, Republic of
Duration: 11 Mar 200715 Mar 2007

Publication series

NameProceedings of the ACM Symposium on Applied Computing

Conference

Conference2007 ACM Symposium on Applied Computing
CountryKorea, Republic of
CitySeoul
Period11/03/0715/03/07

Keywords

  • Data model
  • Semantic
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Science(all)

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