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Wireless Sensor Networks have recently aroused a great interest both from the academic and industrial communities, thanks to the bright perspective they offer in monitoring a broad range of phenomena. Despite some important achievements been reached in studying hardware and networking configurations, the applicative domain of a Wireless Sensor Network has been substantially neglected by the research on this technology. This paper proposes a mathematical abstraction articulated in a model and a genetic characterization to configure the applicative domain of a sensor network under non-functional constraints. The idea is that of dynamically allocating and managing cooperating functions to optimize power consumption, memory availability and radio communications.