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The main method of this application is a self-learning algorithm so it will be given
more emphasis to this element.
In the following subsections it will be provided a detailed description of the
proposed architectures.
3.1
IoT Architecture
The three layers mentioned in section 3 define IoT architecture. In this proposal archi-
tecture, represented in Fig. 1, the perception layer corresponds to data collection. This
stage will consist on giving to a child a wearable sensor device, which will be monitor-
ing some of his physiological signals such as heartbeat, skin conductivity, movements
and temperature. The device will also integrate a RFID tag with the identification of the
child and a GPS allowing the detection of child's location in real time. Sensors used in
this system should be non-intrusive and non-invasive. During the experiment, several
conditions and parameters will be recorded, allowing further analysis of this informa-
tion [6]. Data collected should be sent to a gateway, which will do the interface
between perception and transportation layer.
Fig. 1.
IoT System Architecture Proposal
IEEE 802.15.4 standard released in 2003 was the main factor which motivated
standardization do 6LoWPAN (IPv6 over Low power WPAN). The 6LoWPAN was
developed to enable embedded wireless Internet making easier to implement the IPv6
functionality by setting a compact format for headers taking into account the require-
ments of a wireless network. It is a set of standards defined by Internet Engineering
Task Force (IETF) which creates and maintains all standards of the Internet and its
work architecture [11].
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