Um Sistema Fuzzy para Redução do Consumo Energético e Manutenção da Qualidade de Serviço de Redes de Sensores Sem Fio
Resumo
Este trabalho propõe o uso de Sistemas Baseados em Regras Fuzzy para controlar o funcionamento (ligado/desligado) dos pontos de acesso de Redes de Sensores Sem Fio, com objetivo de reduzir seu consumo energético, e ao mesmo tempo, mantendo a qualidade de serviço da rede, a qual foi medida pela taxa de perda de pacotes. Para demonstrar a eficiência da nossa proposta, ela foi comparada com outras três abordagens. De acordo com o resultados obtidos, foi possível demonstrar ganhos superiores, tanto na redução do consumo de energia quanto na redução da taxa de perda de pacotes, em relação às outras três.
Palavras-chave:
redes de sensores sem fio, consumo energético, qualidade de serviço, sistemas baseados em regras fuzzy
Referências
Akyildiz, I., Su, W., Sankarasubramaniam, Y., and Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks, 38(4):393–422.
Castillo-Effer, M., Quintela, D., Moreno, W., Jordan, R., and Westhoff, W. (2004). Wireless sensor networks for flash-flood alerting. In Proceedings of the Fifth IEEE International Caracas Conference on Devices, Circuits and Systems, volume 1, pages 142–146.
Collotta, M., Pau, G., and Costa, D. G. (2018). A fuzzy-based approach for energyefficient wi-fi communications in dense wireless multimedia sensor networks. Computer Networks, 134:127–139.
Collotta, M., Pau, G., and Maniscalco, V. (2017). A fuzzy logic approach by using particle swarm optimization for effective energy management in iwsns. IEEE Transactions on Industrial Electronics, 64(12):9496–9506.
Costa, D. G., Collotta, M., Pau, G., and Duran-Faundez, C. (2017). A fuzzy-based approach for sensing, coding and transmission configuration of visual sensors in smart city applications. Sensors, 17(1):93.
Daskalakis, C., Diakonikolas, I., and Servedio, R. A. (2015). Learning poisson binomial distributions. Algorithmica, 72(1):316–357.
Fanian, F., Kuchaki Rafsanjani, M., and Borumand Saeid, A. (2021). Fuzzy multi-hop clustering protocol: Selection fuzzy input parameters and rule tuning for wsns. Applied Soft Computing, 99:106923.
Gao, T., Greenspan, D.,Welsh, M., Juang, R., and Alm, A. (2005). Vital signs monitoring and patient tracking over a wireless network. In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pages 102–105.
Jafari, R., Encarnacao, A., Zahoory, A., Dabiri, F., Noshadi, H., and Sarrafzadeh, M. (2005). Wireless sensor networks for health monitoring. In The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, pages 479–481.
Mena, D. M., Papapanagiotou, I., and Yang, B. (2018). Internet of things: Survey on security. Information Security Journal: A Global Perspective, 27(3):162–182.
Mohd Kassim, M. R., Mat, I., and Harun, A. N. (2014). Wireless sensor network in precision agriculture application. In 2014 International Conference on Computer, Information and Telecommunication Systems (CITS), pages 1–5.
Sarrafzadeh, M., Dabiri, F., Jafari, R., Massey, T., and Nahapetian, A. (2006). Low power light-weight embedded systems. In Proceedings of the 2006 International Symposium on Low Power Electronics and Design, ISLPED ’06, page 207–212, New York, NY, USA. Association for Computing Machinery.
Stankovic, J. A. (2008). Wireless sensor networks. Computer, 41(10):92–95.
Yick, J., Mukherjee, B., and Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52:2292–2330.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8:338–353.
Castillo-Effer, M., Quintela, D., Moreno, W., Jordan, R., and Westhoff, W. (2004). Wireless sensor networks for flash-flood alerting. In Proceedings of the Fifth IEEE International Caracas Conference on Devices, Circuits and Systems, volume 1, pages 142–146.
Collotta, M., Pau, G., and Costa, D. G. (2018). A fuzzy-based approach for energyefficient wi-fi communications in dense wireless multimedia sensor networks. Computer Networks, 134:127–139.
Collotta, M., Pau, G., and Maniscalco, V. (2017). A fuzzy logic approach by using particle swarm optimization for effective energy management in iwsns. IEEE Transactions on Industrial Electronics, 64(12):9496–9506.
Costa, D. G., Collotta, M., Pau, G., and Duran-Faundez, C. (2017). A fuzzy-based approach for sensing, coding and transmission configuration of visual sensors in smart city applications. Sensors, 17(1):93.
Daskalakis, C., Diakonikolas, I., and Servedio, R. A. (2015). Learning poisson binomial distributions. Algorithmica, 72(1):316–357.
Fanian, F., Kuchaki Rafsanjani, M., and Borumand Saeid, A. (2021). Fuzzy multi-hop clustering protocol: Selection fuzzy input parameters and rule tuning for wsns. Applied Soft Computing, 99:106923.
Gao, T., Greenspan, D.,Welsh, M., Juang, R., and Alm, A. (2005). Vital signs monitoring and patient tracking over a wireless network. In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pages 102–105.
Jafari, R., Encarnacao, A., Zahoory, A., Dabiri, F., Noshadi, H., and Sarrafzadeh, M. (2005). Wireless sensor networks for health monitoring. In The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, pages 479–481.
Mena, D. M., Papapanagiotou, I., and Yang, B. (2018). Internet of things: Survey on security. Information Security Journal: A Global Perspective, 27(3):162–182.
Mohd Kassim, M. R., Mat, I., and Harun, A. N. (2014). Wireless sensor network in precision agriculture application. In 2014 International Conference on Computer, Information and Telecommunication Systems (CITS), pages 1–5.
Sarrafzadeh, M., Dabiri, F., Jafari, R., Massey, T., and Nahapetian, A. (2006). Low power light-weight embedded systems. In Proceedings of the 2006 International Symposium on Low Power Electronics and Design, ISLPED ’06, page 207–212, New York, NY, USA. Association for Computing Machinery.
Stankovic, J. A. (2008). Wireless sensor networks. Computer, 41(10):92–95.
Yick, J., Mukherjee, B., and Ghosal, D. (2008). Wireless sensor network survey. Computer Networks, 52:2292–2330.
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8:338–353.
Publicado
16/05/2022
Como Citar
OLIVEIRA, Jaevillen F.; PIRES, Matheus G..
Um Sistema Fuzzy para Redução do Consumo Energético e Manutenção da Qualidade de Serviço de Redes de Sensores Sem Fio. In: TEMAS EMERGENTES: CIDADES INTELIGENTES - SIMPÓSIO BRASILEIRO DE SISTEMAS DE INFORMAÇÃO (SBSI), 18. , 2022, Curitiba/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 318-325.
DOI: https://doi.org/10.5753/sbsi_estendido.2022.222713.
