Combining Cloud Computing and Wireless Sensor Networks

Werner Kurschl, Wolfgang Beer

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

68 Citations (Scopus)

Abstract

Just recently emerged a new paradigm for internet-based software systems which is called as cloud computing. The cloud provides scalable processing power and several kinds of connectable services. This distributed architecture has many similarities with a typical wireless sensor network, where a lot of motes, which are responsible for sensing and local preprocessing, are interconnected with wireless connections. Since wireless sensor networks are limited in their processing power, battery life and communication speed, cloud computing usually offers the opposite, which makes it attractive for long term observations, analysis and use in different kinds of environments and projects, since the basic infrastructure remains the same. In this paper we present a model, which combines the concept of wireless sensor networks with the cloud computing paradigm, and show how both can benefit from this combination.

Original languageEnglish
Title of host publicationiiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services
PublisherACM Press
Pages512-518
Number of pages7
ISBN (Print)9781605586601
DOIs
Publication statusPublished - 2009
Event11th International Conference on Information Integration and Web-based Applications & Services (iiWAS2009) - Kuala Lumpur , Malaysia
Duration: 14 Dec 200916 Dec 2009
http://www.iiwas.org/conferences/iiwas2009/

Publication series

NameiiWAS2009 - The 11th International Conference on Information Integration and Web-based Applications and Services

Conference

Conference11th International Conference on Information Integration and Web-based Applications & Services (iiWAS2009)
CountryMalaysia
CityKuala Lumpur
Period14.12.200916.12.2009
Internet address

Keywords

  • cloud computing
  • wireless sensor networks
  • data analysis
  • web application
  • distributed system
  • monitoring
  • scalability

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