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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

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