Efficient micro data centres deployment for mobile healthcare monitoring systems in IoT urban scenarios

The Internet of Things (IoT) has caused an exponential increase in the number of connected devices. This brings the Internet closer to everyday activities and enables data collection that can be used to create and improve a great variety of services. However, more powerful storage and processing capabilities are required to service all these devices. Modelling and Simulation (M&S) can help to deploy IoT infrastructure, providing flexible and powerful mechanisms to study and compare different strategies. In this scenario, Micro Data Centers (MDCs) are an effective solution to reduce overwhelmed Cloud Data Center infrastructures. This paper explores an M&S methodology to study the overall power consumption of a healthcare IoT scenario, where patients wear non-intrusive monitoring devices that periodically generate computing tasks. We extract the layout of existing urban infrastructures, simulate the monitored population's behaviour, and compare the power consumption of several data centre configurations.