Um Modelo de Dados Extensível para Configuração da Simulação de Redes de Sensores Sem Fio
Resumo
A simulação possibilita estudar Redes de Sensores Sem Fio (RSSFs) de forma rápida e econômica, tornando-se uma importante opção para estudo destas redes. Apesar do grande número de simuladores de RSSFs disponíveis, cada um deles foi projetado para atender necessidades específicas. Por causa dos aspectos singulares das RSSFs, os modelos existentes podem não ser precisos e completos para todas as áreas de simulação de RSSFs. Além disso, a integração entre esses simuladores é pequena ou inexistente. Nesse contexto, este trabalho apresenta uma forma de modelagem abstrata de RSSFs, permitindo que diferentes simuladores compartilhem um mesmo modelo de dados de configuração, promovendo interoperabilidade de modelos de simulação.Referências
Balci, O. (1994). Validation, verification, and testing techniques throughout the life cycle of a simulation study. In WSC ’94: Proceedings of the 26th Conference on Winter Simulation, pages 215–220, San Diego, CA, USA. Society for Computer Simulation International.
Boulis, A. (2009). Castalia version 2.1 user’s manual.
Chang, X. (1999). Network simulations with opnet. In WSC ’99: Proceedings of the 31st Conference on Winter Simulation, pages 307–314, New York, NY, USA. ACM.
Curren, D. (2005). A survey of simulation in sensor networks. project report (CS580), University of Binghamton.
Czarnecki, K. and Helsen, S. (2003). Classification of model transformation approaches. In Proceedings of the 2nd OOPSLA Workshop on Generative Techniques in the Context of the Model Driven Architecture. Citeseer.
da Silva, J. M. (2008). Cachaça: O mais brasileiro dos prazeres. Anhembi Morumbi, 2a edition.
Downard, I. (2004). Simulating sensor networks in ns-2.
Dunkels, A. (2007). Contiki in the baltic sea.
Egea-Lopez, E., Vales-Alonso, J., Martinez-Sala, A., Pavon-Marino, P., and García-Haro, J. (2005). Simulation tools for wireless sensor networks. In Proceedings of the International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS’05).
Handziski, V., Kopke, A., Karl, H., and Wolisz, A. (2003). A common wireless sensor network architecture. Proc. 1. GI/ITG Fachgesprach Sensornetze(Technical Report TKN-03-012 of the Telecommunications Networks Group, Technische Universitat Berlin), Technische Universitat Berlin, Berlin, Germany, pages 10–17.
Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D., and Pister, K. (2000). System architecture directions for networked sensors. In ASPLOS-IX: Proceedings of the Ninth International Conference on Architectural Support for Programming Languages and Operating Systems, pages 93–104, New York, NY, USA. ACM.
Ilyas, M. and Mahgoub, I. (2005). Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems. CRC Press.
Levis, P., Lee, N., Welsh, M., and Culler, D. (2003). TOSSIM: Accurate and scalable simulation of entire TinyOS applications. In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, pages 126–137. ACM New York, NY, USA.
Osterlind, F., Dunkels, A., Eriksson, J., Finne, N., and Voigt, T. (2006). Cross-level sensor network simulation with cooja. In Proceedings of the First IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp 2006), page 8.
Park, S., Savvides, A., and Srivastava, M. (2001). Simulating networks of wireless sensors. In Proceedings of the 33nd Conference on Winter Simulation, pages 1330–1338. IEEE Computer Society Washington, DC, USA.
Polley, J., Blazakis, D., McGee, J., Rusk, D., Baras, J., and Karir, M. (2004). Atemu: A fine-grained sensor network simulator. In IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks. Citeseer.
Science, S. I. C. (2005). The Contiki Operating System.
SEBRAE-MG (2001). DIAGNÓSTICO DA CACHAÇA DE MINAS GERAIS.
Titzer, B. L., Lee, D. K., and Palsberg, J. (2005). Avrora: scalable sensor network simulation with precise timing. In IPSN ’05: Proceedings of the 4th International Symposium on Information Processing in Sensor Networks, page 67, Piscataway, NJ, USA. IEEE Press.
Varga, A. et al. (2001). The OMNeT++ discrete event simulation system. In Proceedings of the European Simulation Multiconference (ESM 2001), pages 319–324.
Werner-Allen, G., Lorincz, K., Welsh, M., Marcillo, O., Johnson, J., Ruiz, M., and Lees, J. (2006). Deploying a wireless sensor network on an active volcano. IEEE Internet Computing, 10(2):18–25.
Boulis, A. (2009). Castalia version 2.1 user’s manual.
Chang, X. (1999). Network simulations with opnet. In WSC ’99: Proceedings of the 31st Conference on Winter Simulation, pages 307–314, New York, NY, USA. ACM.
Curren, D. (2005). A survey of simulation in sensor networks. project report (CS580), University of Binghamton.
Czarnecki, K. and Helsen, S. (2003). Classification of model transformation approaches. In Proceedings of the 2nd OOPSLA Workshop on Generative Techniques in the Context of the Model Driven Architecture. Citeseer.
da Silva, J. M. (2008). Cachaça: O mais brasileiro dos prazeres. Anhembi Morumbi, 2a edition.
Downard, I. (2004). Simulating sensor networks in ns-2.
Dunkels, A. (2007). Contiki in the baltic sea.
Egea-Lopez, E., Vales-Alonso, J., Martinez-Sala, A., Pavon-Marino, P., and García-Haro, J. (2005). Simulation tools for wireless sensor networks. In Proceedings of the International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS’05).
Handziski, V., Kopke, A., Karl, H., and Wolisz, A. (2003). A common wireless sensor network architecture. Proc. 1. GI/ITG Fachgesprach Sensornetze(Technical Report TKN-03-012 of the Telecommunications Networks Group, Technische Universitat Berlin), Technische Universitat Berlin, Berlin, Germany, pages 10–17.
Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D., and Pister, K. (2000). System architecture directions for networked sensors. In ASPLOS-IX: Proceedings of the Ninth International Conference on Architectural Support for Programming Languages and Operating Systems, pages 93–104, New York, NY, USA. ACM.
Ilyas, M. and Mahgoub, I. (2005). Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems. CRC Press.
Levis, P., Lee, N., Welsh, M., and Culler, D. (2003). TOSSIM: Accurate and scalable simulation of entire TinyOS applications. In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, pages 126–137. ACM New York, NY, USA.
Osterlind, F., Dunkels, A., Eriksson, J., Finne, N., and Voigt, T. (2006). Cross-level sensor network simulation with cooja. In Proceedings of the First IEEE International Workshop on Practical Issues in Building Sensor Network Applications (SenseApp 2006), page 8.
Park, S., Savvides, A., and Srivastava, M. (2001). Simulating networks of wireless sensors. In Proceedings of the 33nd Conference on Winter Simulation, pages 1330–1338. IEEE Computer Society Washington, DC, USA.
Polley, J., Blazakis, D., McGee, J., Rusk, D., Baras, J., and Karir, M. (2004). Atemu: A fine-grained sensor network simulator. In IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks. Citeseer.
Science, S. I. C. (2005). The Contiki Operating System.
SEBRAE-MG (2001). DIAGNÓSTICO DA CACHAÇA DE MINAS GERAIS.
Titzer, B. L., Lee, D. K., and Palsberg, J. (2005). Avrora: scalable sensor network simulation with precise timing. In IPSN ’05: Proceedings of the 4th International Symposium on Information Processing in Sensor Networks, page 67, Piscataway, NJ, USA. IEEE Press.
Varga, A. et al. (2001). The OMNeT++ discrete event simulation system. In Proceedings of the European Simulation Multiconference (ESM 2001), pages 319–324.
Werner-Allen, G., Lorincz, K., Welsh, M., Marcillo, O., Johnson, J., Ruiz, M., and Lees, J. (2006). Deploying a wireless sensor network on an active volcano. IEEE Internet Computing, 10(2):18–25.
Publicado
20/07/2010
Como Citar
SANTOS, Luciana Brasil Rebelo dos; BERKENBROCK, Gian Ricardo; HIRATA, Celso Massaki.
Um Modelo de Dados Extensível para Configuração da Simulação de Redes de Sensores Sem Fio. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO UBÍQUA E PERVASIVA (SBCUP), 2. , 2010, Belo Horizonte/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2010
.
p. 276-285.
ISSN 2595-6183.
