An overview of information extraction from mobile wireless sensor networks

  • Abdelrahman Abuarqoub*
  • , Mohammad Hammoudeh
  • , Tariq Alsboui
  • *Corresponding author for this work

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

16 Scopus citations

Abstract

Information Extraction (IE) is a key research area within the field of Wireless Sensor Networks (WSNs). It has been characterised in a variety of ways, ranging from the description of its purposes, to reasonably abstract models of its processes and components. There has been only a handful of papers addressing IE over mobile WSNs directly, these dealt with individual mobility related problems as the need arises. This paper is presented as a tutorial that takes the reader from the point of identifying data about a dynamic (mobile) real world problem, relating the data back to the world from which it was collected, and finally discovering what is in the data. It covers the entire process with special emphasis on how to exploit mobility in maximising information return from a mobile WSN. We present some challenges introduced by mobility on the IE process as well as its effects on the quality of the extracted information. Finally, we identify future research directions facing the development of efficient IE approaches for WSNs in the presence of mobility.

Original languageEnglish
Title of host publicationInternet of Things, Smart Spaces, and Next Generation Networking - 12th International Conference, NEW2AN 2012, and 5th Conference, ruSMART 2012, Proceedings
Pages95-106
Number of pages12
DOIs
StatePublished - 2012
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7469 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Data Collection
  • Information Attributes
  • Information Extraction
  • Mobile
  • Mobile Nodes
  • Wireless Sensor Networks

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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