You are here

IoT Data Management Methods and Optimisation Algorithms for Mobile Publish/Subscribe Services in Cloud Environments

Authors: 

Ivana Podnar Žarko, Krešimir Pripužić, Martin Serrano, Manfred Hauswirth

Publication Type: 
Refereed Conference Meeting Proceeding
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 the means 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 platform , the flaghship Open Source IoT middleware for services based on the automated cloud-based formulation of societies of Internet-connected objects.
Conference Name: 
24th European Conference on Networks and Communications (EUCNC 2014)
Proceedings: 
24th European Conference on Networks and Communications (EUCNC 2014)
Digital Object Identifer (DOI): 
10.na
Publication Date: 
25/06/2014
Conference Location: 
France
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No