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A distributed range query framework for the internet of things
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
Department of Computer Science and Technology, Donghua University, Shanghai, China.
2015 (English)In: 2015 18th International Conference on Intelligence in Next Generation Networks, ICIN 2015, IEEE conference proceedings, 2015, 83-88 p.Conference paper, Published paper (Refereed)
Abstract [en]

The range query referring to the Internet of Things is a tough challenge since the data information is fully distributed. In order to support efficient range query, most existing approaches focused on designing the data management mechanism, which ensures that the similar data are stored nearby within the network. However, it will introduce large extra overhead to each peer in the Internet of Things especially when the peers generate data frequently. In this paper, a distributed range query framework is proposed, which consists of three core modules, reporting and indexing module, along with a query executor. The reporting module learns the sensed data and predicts a data range in which the coming future data is likely to be. Only the abnormal data that exceeds the data range will be detected, which greatly reduces the frequency and quantity of data migration in these data management mechanism. The indexing module is responsible for collecting reported data information and establishing data index used for responding to query request. Based on the above two modules, the range query is processed by the query executor. The experimental results show that this proposal could support range query effectively and efficiently, with load balance among the peers at the same time. © 2015 IEEE.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 83-88 p.
Keyword [en]
Distributed data, Internet of Things, Range query
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:miun:diva-25899DOI: 10.1109/ICIN.2015.7073811ISI: 000380378200013Scopus ID: 2-s2.0-84928471726Local ID: STCISBN: 9781479918669 (print)OAI: oai:DiVA.org:miun-25899DiVA: diva2:856311
Conference
2015 18th International Conference on Intelligence in Next Generation Networks, ICIN 2015, 17 February 2015 through 19 February 2015
Note

Export Date: 23 September 2015

Available from: 2015-09-23 Created: 2015-09-23 Last updated: 2017-03-02Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf