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

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


Institute of Electrical and Electronics Engineers -IEEE-:
European Conference on Networks and Communications, EuCNC 2014 : Bologna, Italy, June 23/26, 2014
Piscataway, NJ: IEEE, 2014
ISBN: 978-1-4799-5280-9 (Online)
ISBN: 978-1-4799-5279-3 (USB)
5 S.
European Conference on Networks and Communications (EuCNC) <2014, Bologna>
Fraunhofer FOKUS ()

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.