  In the last decade, the Internet of Things paradigm has caused an exponential
increase in the number of connected devices. This trend brings the Internet
closer to everyday activities and enables data collection that can be used to
create and improve a great variety of services and applications. Despite its
great benefits, this paradigm also comes with several challenges. More powerful
storage and processing capabilities are required to service all these devices.
Additionally, the need to deploy and manage the infrastructure to efficiently
support these resources continues to pose a challenge. Modeling and simulation
can help to design and analyze these scenarios, providing flexible and powerful
mechanisms to study and compare different strategies and infrastructures. In
this scenario, Micro Data Centers (MDCs) can be used as an effective way of
reducing overwhelmed Cloud Data Center infrastructures. This paper explores an
M\&S methodology to study the overall power consumption of a healthcare IoT
scenario. The patients wear non-intrusive monitoring devices that periodically
generate tasks to be executed in MDCs. We extract the layout of existing urban
infrastructures, simulate the monitored population's behavior, and compare the
power consumption of several data center configurations.
