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Modeling and analyzing performance of software for wireless sensor networks

The development of software for Wireless Sensor Networks (WSN) is mostly based on code-and-fix techniques. Up today model-driven engineering techniques have only been limitedly considered in this domain, although they would enable a set of activities aimed at improving the quality of software. In this paper we investigate the possibility to adapt an existing model-based approach that exploits such techniques to combine the modeling and performance analysis of software for WSN. We introduce a UML-based framework where a system model (i) is extended with a new profile for representing NesC application along with the supporting hardware platform, and (ii) is annotated with performance parameters defined in the standard UML MARTE profile. Thereafter we apply a set of transformations to this enhanced UML model that targets a Queueing Network performance model. Finally we illustrate our approach at work on a case study in the agricultural domain.