IoFClime: The fuzzy logic and the Internet of Things to control indoor
  temperature regarding the outdoor ambient conditions
  The Internet of Things is arriving to our homes or cities through fields
already known like Smart Homes, Smart Cities, or Smart Towns. The monitoring of
environmental conditions of cities can help to adapt the indoor locations of
the cities in order to be more comfortable for people who stay there. A way to
improve the indoor conditions is an efficient temperature control, however, it
depends on many factors like the different combinations of outdoor temperature
and humidity. Therefore, adjusting the indoor temperature is not setting a
value according to other value. There are many more factors to take into
consideration, hence the traditional logic based in binary states cannot be
used. Many problems cannot be solved with a set of binary solutions and we need
a new way of development. Fuzzy logic is able to interpret many states, more
than two states, giving to computers the capacity to react in a similar way to
people. In this paper we will propose a new approach to control the temperature
using the Internet of Things together its platforms and fuzzy logic regarding
not only the indoor temperature but also the outdoor temperature and humidity
in order to save energy and to set a more comfortable environment for their
users. Finally, we will conclude that the fuzzy approach allows us to achieve
an energy saving around 40% and thus, save money.
