Implementing static synchronous sensor fields using NiMo
In this work we present some implementations of a Static Synchronous Sensor Field (SSSF), a static and synchronous 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) p...
| Autores: | , , |
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| Tipo de documento: | relatório científico |
| Data de publicação: | 2009 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/87087 |
| Acesso em linha: | https://hdl.handle.net/2117/87087 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Sensor networks Topologies Synchronization Simulation Àrees temàtiques de la UPC::Informàtica::Programació |
| Resumo: | In this work we present some implementations of a Static Synchronous Sensor Field (SSSF), a static and synchronous 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) programming language, a graphic-functional-data flow language that allows a step by step visualization of the executions of an algorithm, making visible all the involved elements. Experimenting with sensor networks gives an insight of their behavior and aids to see their properties. |
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