Towards Collaborative Sensing using Dynamic Intelligent Virtual Sensors

  • Radu-Casian Mihailescu
  • Jan Persson
  • Paul Davidsson
  • Ulrik Eklund
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 678)


The recent advent of ‘Internet of Things’ technologies is set to bring about a plethora of heterogeneous data sources to our immediate environment. In this work, we put forward a novel concept of dynamic intelligent virtual sensors (DIVS) in order to support the creation of services designed to tackle complex problems based on reasoning about various types of data. While in most of works presented in the literature virtual sensors are concerned with homogeneous data and/or static aggregation of data sources, we define DIVS to integrate heterogeneous and distributed sensors in a dynamic manner. This paper illustrates how to design and build such systems based on a smart building case study. Moreover, we propose a versatile framework that supports collaboration between DIVS, via a semantics-empowered search heuristic, aimed towards improving their performance.


Wireless Sensor Network Information Gain Virtual Sensor Bipartite Match Heterogeneous Data Source 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Radu-Casian Mihailescu
    • 1
  • Jan Persson
    • 1
  • Paul Davidsson
    • 1
  • Ulrik Eklund
    • 1
  1. 1.Internet of Things and People Research CenterMalmö University, School of TechnologyMalmöSweden

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