|
|
Digital
Library of the European Council for Modelling and Simulation |
|
Title: |
Concept
Hierarchies For Sensor Data Fusion In The Cognitive IoT |
|
Authors: |
Franco Cicirelli,
Giandomenico Spezzano |
|
Published in:
|
(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and
Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
|
Citation
format: |
Franco Cicirelli,
Giandomenico Spezzano (2016).
Concept Hierarchies For Sensor Data Fusion In The Cognitive IoT, ECMS 2016 Proceedings edited by: Thorsten Claus,
Frank Herrmann, Michael Manitz, Oliver Rose European Council for Modeling and Simulation. doi:10.7148/2016-0073 |
|
DOI: |
http://dx.doi.org/10.7148/2016-0073 |
|
Abstract: |
Sensor data fusion refers to
technological solutions aiming at collecting, classifying and complementing
data coming from multiple sensors. It has the potential of enabling context awareness which, on the other hand, represents a huge
potential to be exploited in the field of IoT
applications. Sensor fusion and IoT have to deal
with multi-faced issues like heterogeneity, sensor/actuator management, data
accuracy and reliability. This paper proposes a multi-tier approach dealing
with sensor fusion and IoT aspects in a modular
way. The approach relies on the use of the agent metaphor, statecharts and on the Rainbow multi-agent platform.
Agents can be dynamically added and removed from an application thus
promoting system openness and scalability. Heterogeneity and distribution
issues are transparently managed by Rainbow which
hides the physical layer on top of which the applications are built. As a
significant case study, the approach was exploited for the implementation of
a working prototype devoted to improve security of some artworks (statues) of
the MAB museum located in the city of Cosenza, Italy. |
|
Full
text: |
|
