Success Stories
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Internet of Things <strong>Success</strong> <strong>Stories</strong> Series #3<br />
IoT-based Monitoring and Management Approach for Smart Infrastructures<br />
This gap has been calculated obtaining a reduction of 18.28%<br />
of the consumed energy proving the benefit of using our platform<br />
based on IoT.<br />
Regarding the agricultural scenario, our platform is able to<br />
gather the information transmitted wirelessly by the sensors<br />
deployed in the field crop. Actually, the following graphs corresponding<br />
to Figure 8 shows the information related to humidity<br />
and conductivity measured by the deployed sensors.<br />
This information has been analyzed by agronomic engineers<br />
to estimate the amount of water needed to irrigate the field<br />
crop in order to make a more efficient irrigation process by<br />
using, in a next iteration, this platform wasting the minimum<br />
amount of water as well as obtaining the highest quality in<br />
the barley planted.<br />
These two heterogeneous scenarios proved the success of<br />
the platform based on IoT by OdinS, as well as its communication<br />
model being a suited platform for managing and<br />
monitoring smart infrastructures.<br />
5. Acknowledgments<br />
Figure 8. Humidity and conductivity information gathered by the deployed sensors<br />
This work has been partially sponsored by European Commission through the FP7-SMARTIE-609062 project<br />
6. References<br />
Berglund, L., Mathematical models for predicting the thermal<br />
comfort response of building occupants. ASHRAE Transactions,<br />
vol. 84, no. 1, pp. 735-749, 1978.<br />
Callaghan, V., Clarke, G., Colley, M., Hagras, H., Chin, J., Doctor,<br />
F., Inhabited intelligent environments, BT Technology Journal,<br />
vol. 22, no. 3, pp. 233-247, 2004.<br />
EN 15251:2006. Indoor Environmental Input Parameters for<br />
Design and Assesment of Energy Performance of Buildings –<br />
Addressing Indoor Air Quality, Thermal Environment, Lighting<br />
and Accoustics, Centre Europeen de Normalisation, 2006.<br />
Habitat, U.N. 2010. State of the world’s cities 2010/2011: Bridging<br />
the urban divide. Nairobi, Kenya: UN Habitat.<br />
Jones, A. The Future of EU Research : The Innovation Union<br />
and European Innovation Partnerships. In Research Support<br />
Blog, 2011.<br />
Moreno-Cano, M., Zamora-Izquierdo, M., Santa, J., Skarmeta,<br />
A. F., An indoor localization system based on artificial neural<br />
networks and particle filters applied to intelligent buildings.<br />
Neurocomputing, vol. 122, pp. 116-125, 2013.<br />
Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D., Sensing<br />
a service model for smart cities supported by Internet of<br />
Things, In Trans. Emerging Tel Tech., 2013.<br />
Zamora-Izquierdo, M. A., Santa J., Gomez-Skarmeta, A. F., An<br />
integral and networked home automation solution for indoor<br />
ambient intelligence, Pervasive Computing, IEEE, vol. 9, no. 4,<br />
pp. 66-77, 2010.<br />
Internet of Things • <strong>Success</strong> <strong>Stories</strong> 66 SERIES #3 - November 2015