IoT data management methods and optimisation algorithms for mobile publish/subscribe services in cloud environments

Ivana Podnar Zarko, Kresimir Pripuzic, Martin Serrano, Manfred Hauswirth

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

18 Citations (Scopus)

Abstract

Recent advances in the Internet of Things (IoT) domain for deploying IoT data systems within the cloud have generated Internet-connected silos of sensor technology which make the collection and processing of sensor-generated information more complex. A viable solution to this problem is the use of local sub-servers acting as collector's hubs between mobile sensing devices and the cloud. Publish/subscribe mechanisms have the capacity to provide full control over the data acquisition and filtering process in mobile IoT environments as well as the methods for implementing optimisations related to energy-efficient data harvesting. The paper formulates design principles for IoT data management methods and optimisation algorithms by means of publish/subscribe middleware and linked data which span over mobile networks and cloud infrastructures to produce a coherent IoT ecosystem. Mobile sensing thus becomes a prominent feature of the OpenIoT platform1, the flaghship Open Source IoT middleware for services based on the automated cloud-based formulation of societies of Internet-connected objects.

Original languageEnglish
Title of host publicationEuCNC 2014 - European Conference on Networks and Communications
PublisherIEEE Computer Society
ISBN (Print)9781479952809
DOIs
Publication statusPublished - 2014
Event2014 European Conference on Networks and Communications, EuCNC 2014 - Bologna, Italy
Duration: 23 Jun 201426 Jun 2014

Publication series

NameEuCNC 2014 - European Conference on Networks and Communications

Conference

Conference2014 European Conference on Networks and Communications, EuCNC 2014
Country/TerritoryItaly
CityBologna
Period23/06/1426/06/14

Keywords

  • Cloud Computing
  • Internet of Things
  • Linked Data
  • Mobile Sensors
  • Open Source
  • Publish/Subscribe

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