Instrumentation & Measurement Magazine 23-9 - 42

exploited solutions and protocols peculiar to the IoT paradigm. In particular, network sensor nodes are connected by
means of LoRaWAN protocol to a proper Gateway; it has
been so possible to assure wide area coverage with reduced
power consumption, thus avoiding further power requirement to the detriment of node operation (typically " always
on, due to the nature of the measurands). LoRa Gateway exchanges measurement data and node information with a
suitable platform implemented with the open-source platform ThingsBoard.
ThingsBoard, in fact, allows a simple management of the
network nodes and their measurement results; furthermore,
several templates of gauges and charts make the visualization
of the data immediate and straightforward, according to the
IoT paradigm. Functionality and performance of both nodes
and platform have been assessed; with specific regard to the
nodes, reference radioactive source with known energy spectrum has been adopted to assess the capability of the realized
conditioning section and digital processing to carry out spectrometry and transmit the results to the IoT platform for the
visualization. Ongoing activities are mainly focused on the deployment of the sensor network in an actual dismissed nuclear
plant and the development of suitable rules, involving Bayesian methods, for early detection of radiological risk.

References
[1]	 C. D. Ferguson and M. M. Smith, " Assessing radiological
weapons: attack methods and estimated effects, " Defence Against
Terrorism Review, vol. 2, no. 2, pp. 15-34, Fall 2009.

smart solutions based on IoT technologies, " IEEE Instrum. Meas.
Mag., vol. 22, no. 2, pp. 52-59, Apr. 2019.
[9]	 C. Scuro, P. F. Sciammarella, F. Lamonaca, R. S. Olivito and D. L.
Carni, " IoT for structural health monitoring, " IEEE Instrum. Meas.
Mag., vol. 21, no. 6, pp. 4-14, Dec. 2018.
[10]	F. Abate, M. Carratù, C. Liguori, M. Ferro and V. Paciello, " Smart
meter for the IoT, " in Proc. 2018 IEEE Int. Instrum. Meas. Technol.
Conf. (I2MTC), pp. 1-6, 2018.
[11]	G. Betta, G. Cerro, M. Ferdinandi, L. Ferrigno and M. Molinara,
" Contaminants detection and classification through a customized
IoT-based platform: a case study, " IEEE Instrum. Meas. Mag., vol.
22, no. 6, pp. 35-44, Dec. 2019.

Rosario Schiano Lo Moriello (rschiano@unina.it) is an Associate Professor of mechanical and thermal measurements at
University of Naples Federico II, Italy. He holds a Ph.D. degree
in electrical engineering. His research activity is mainly focused on IoT-based monitoring and measurement platforms;
advanced sampling strategies for embedded measurement
systems; innovative methods for bias and drift compensation
of MEMS-based inertial measurement units.
Alessandro Tocchi (alessandro.tocchi@unina.it) is a Ph.D. degree student in electronic engineering at University of Naples
Federico II, Italy and is a Research Technician at the Centre for
Advanced Metrological and Technological Services. His research interests include IoT-based monitoring and measurement
platforms, distributed measurement systems and performance
assessment of IoT-oriented communication protocols.

[2]	 J. Acton, B. Rogers, and P. Zimmerman, " Beyond the dirty bomb:
re-thinking radiological terror, " Survival, vol. 49, no. 3, pp.151168, Jul. 2007.
[3]	 F. Ding, G. Song, K. Yin, J. Li, and A. Song, " A GPS-enabled
wireless sensor network for monitoring radioactive materials, "
Sens. Actuat. A Phys., vol. 155, pp. 210-215, 2009.
[4]	 D. Magalotti, P. Placidi, M. Paolucci, A. Scorzoni and L. Servoli,
" Experimental characterization of a wireless personal sensor

Annalisa Liccardo (aliccard@unina.it) is an Associate Professor of electrical and electronic measurements at University of
Naples Federico II, Italy. She holds a Ph.D. degree in electrical
engineering. Her research activity is mainly focused on measurements for monitoring and protection of electrical power
systems, IoT sensors for electrical measurements, and IoTbased distributed measurement networks.

node for the dosimetry during interventional radiology
procedures, " IEEE Trans. Instrum. Meas., vol. 65, no. 5, pp. 10701078, May 2016.
[5]	 S. Corbellini et al., " Modified POF sensor for gaseous hydrogen
fluoride monitoring in the presence of ionizing radiations, " IEEE
Trans. Instrum. Meas., vol. 61, no. 5, pp. 1201-1208, May 2012.
[6]	 A. Tocchi, V. Roca, L. Angrisani, F. Bonavolontà, and R. Schiano
Lo Moriello, " First step towards an IoT implementation
of a wireless sensors network for environmental radiation

Francesco Bonavolontà (francesco.bonavolonta@unina.it) is
a Research Fellow in the Department of Electrical and Information Technologies at University of Naples Federico II, Italy
and holds a Ph.D. degree. His research activity is centered in
the area of instrumentation and measurement and is mainly
focused on developing of innovative DAS systems based on
compressive sampling techniques, also including Internet of
Things devices for smart applications.

monitoring, " in Proc. 2017 IEEE Int. Instrum. Meas. Technol. Conf.
(I2MTC), pp. 588-593, 2017.
[7]	 B. Ooi, Z. Kong, W. Lee, S. Liew and S. Shirmohammadi, " A
collaborative IoT-gateway architecture for reliable and cost
effective measurements, " IEEE Instrum. Meas. Mag., vol. 22, no. 6,
pp. 11-17, Dec. 2019.
[8]	 D. R. C. Silva, M. B. Nogueira, M. C. Rodrigues, J. S. Costa, D.
V. A. Silveira and G. M. B. Oliveira, " A concrete architecture for

42	

Giorgio de Alteriis (giorgio.dealteriis@unina.it) is currently a
Ph.D. degree student in technology, innovation and management at the University of Bergamo and University of Naples
Federico II, Italy. His current research activity is mainly focused innovative methods based on redundant configuration
of MEMS IMU for bias and drift compensation and IoT-based
distributed monitoring systems.

IEEE Instrumentation & Measurement Magazine	

December 2020



Instrumentation & Measurement Magazine 23-9

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