Implementing Static Synchronus Sensor Fields Using NiMo

In this work we present some implementations of a Static Synchronus Sensor Field (SSSF) [2], a static and synchronus model for sensor networks in which a finite set of sensing devices are geographically distributed and can communicate among them. We used for implementations the NiMo (Nets in Motion) [1] programming language, a graphic-functional-dataflow language that allows a step by step visualization of the executions of an algorithm, making visible all the involved elements. Generator programs to build different topologies (rings, trees, etc.) of variable size produce the corresponding sensor networks in the first execution stage. Once it is generated, the network can be run in the next execution step. Experimenting with sensor networks gives an insight of their behaviour and aids to see their properties, as can be appreciated in this work.