01812nas a2200193   4500000000100000008004100001260001200042100002000054700001700074700001900091700001800110700001700128245007800145856004500223300001800268490000700286520131100293022001401604       2014                            d  c08/20141 aÁlvaro Monares1 aSergio Ochoa1 aRodrigo Santos1 aJavier Orozco1 aRoc Meseguer00aModeling IoT-Based Solutions Using Human-Centric Wireless Sensor Networks  uhttp://www.mdpi.com/1424-8220/14/9/15687  a15687–157130 v143 aThe Internet of Things (IoT) has inspired solutions that are already available for addressing problems in various application scenarios, such as healthcare, security, emergency support and tourism. However, there is no clear approach to modeling these systems and envisioning their capabilities at the design time. Therefore, the process of designing these systems is ad hoc and its real impact is evaluated once the solution is already implemented, which is risky and expensive. This paper proposes a modeling approach that uses human-centric wireless sensor networks to specify and evaluate models of IoT-based systems at the time of design, avoiding the need to spend time and effort on early implementations of immature designs. It allows designers to focus on the system design, leaving the implementation decisions for a next phase. The article illustrates the usefulness of this proposal through a running example, showing the design of an IoT-based solution to support the first responses during medium-sized or large urban incidents. The case study used in the proposal evaluation is based on a real train crash. The proposed modeling approach can be used to design IoT-based systems for other application scenarios, e.g., to support security operatives or monitor chronic patients in their homes.  a1424-8220