Page 42 - ITU Journal Future and evolving technologies Volume 2 (2021), Issue 5 – Internet of Everything

ITU Journal on Future and Evolving Technologies, Volume 2 (2021), Issue 5

Another test bed, consisting of a Raspberry Pi, is detailed ulator, named NS2. The main drawback, emerged from
in [7]. Also here, the inal goal is to evaluatea security pro‑ such solutions, is that an IoT system is too complex for
tocol for enforcing the usage of control policies. In both being simulated by a WSN simulator or by a “simple” soft‑
cases (i.e., [6] and [7]) the test bed consists of a limited ware.
number of devices, thus preventing the conducting of rel‑
Note that, in general, the growth and diffusion of remote
evant considerations about the scalability of the proposed
monitoring systems was favoured by the availability of
approaches. Note that such an aspect is not so relevant
sensor devices, able to acquire, in real time, informa‑
with respect to the approach presented in this paper.
tion from the surrounding environment and transmit it
Instead, the authors of [8] present three different use
throughout the network towards a sink point, which is
cases to demonstrate the feasibility and ef iciency of their
usually in charge of collecting and processing all the gath‑
architecture, by measuring home conditions, monitoring
ered data from a speci ic application [15]. What emerges
home appliances, and controlling home access. Such a
from literature is the need for a tool or a set of interop‑
solution integrates the IoT paradigm with web services
erating tools, able to represent the whole remote mon‑
and cloud computing. The following technologies have
itoring architecture closer, as much as possible, to the
been adopted for the test bench: Arduino platform for future working system, in order to provide provide de‑
sensing and actuating functionalities; Zigbee for network‑ signers and developers with a complete view of the i‑
ing; cloud services; JSON data format for information ex‑
nal architecture and underlying logic, before its real de‑
change.
ployment. Such a role has been played by WSN’s simula‑
A prototype service for a smart of ice is provided in [9] to
tors/emulators for many years [16], but, with the advent
evaluate, from a functionalities’ viewpoint, the proposed of IoT, new systems must be adopted, due to the hetero‑
Integrated Semantics Service Platform (ISSP). The solu‑ geneity of the involved devices and to the different ser‑
tion is based on an ontology and a model for semantic in‑
vices provided. Hence, the main contribution of the work,
terpretations of user inputs through a proper web app.
presented herein, can be summarized as follows:
3
The whole architecture is based on Mobius , which is a
oneM2M‑compatible IoT service platform.
• The of proper and
In [10], the workdescribes a practical realization of an IoT technologies proposed, order represent a
architecture, targeted to the University of Padova (Italy), domotics IoT scenario.
which allows the interaction of WSN and actuators to
standard networks, such as web services. It is an example • A general overview of the envisioned system is given
of smart building, since the IoT network spans the loors by means of a complete test‑bed, to be validated be‑
and different areas within the Department of Information fore real deployment on a large scale.
Engineering. Basic services, such as environmental mon‑
itoring and localization, regulated by roles and authoriza‑
tions, are provided by means of the proposed approach. 3. TECHNOLOGIES AND TOOLS
A similar work has been carried out at the University of
Bari (Italy), where existing hardware and software IoT Before detailing the case study of interest, the in‑
solutions have been glued together to provide a reliable volved technologies and tools are introduced herein. An
monitoring system, able to handle both scalar and me‑ overview of the envisioned domotics system is provided
dia data belonging to either Internet Protocol version 4 in Fig. 1, which resembles all the components de‑
(IPv4) and IPv6 realms [11]. In more detail, an IoT mid‑ scribed for the use case. A demo video is available at
dleware, named NOS (Networked Smart object) [12], is https://youtu.be/‑5Gg5I0B3Ak.
able to manage IoT heterogeneous data, and has been in‑
tegrated with: (i) TLSensing platform, which is able to ef‑
iciently acquire environmental information; and (ii) an
IP camera, in charge of acquiring images from the sur‑
rounding environment. An experimental test bed has
been been deployed in a university’s laboratory, in order
to continuously monitor environmental conditions and
access control, also against malicious behaviours (e.g., to
perform intrusion detection tasks).
Based on a coordinator‑based ZigBee network, the smart
home control system, presented in [13], has been writ‑
ten as a C# program in charge of simulating the users’ be‑
haviour. A similar approach is that of [14], where ZigBee
Fig. 1 – Domotics ‑ system architecture
nodes are simulated by means of a well‑known WSN sim‑
3
Mobius oneM2M, ”oneM2M‑compatible IoT service platform”.
http://wiki.onem2m.org/index.php?title=Open_Source

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