Sistema de Seleção Multicritério de Tecnologia de Conexão da Fazenda Inteligente
Resumo
Escolher uma tecnologia de comunicação eficiente entre tantas opções disponíveis para uma fazenda é tarefa complexa. Devem ser considerados critérios técnicos e não técnicos, critérios objetivos e subjetivos. Assim, as decisões tendem a ser multicritério. Neste trabalho, construimos um sistema de decisão através do método analítico de decisão AHP (Analytical Hierarchy Process) para apoiar a escolha da tecnologia a implantar em uma fazenda inteligente. Aplicamos o método a um cenário de longo alcance para conectar o escritório central a diferentes regiões da fazenda. Analisamos 6 opções de conectividade sob a perspectiva de 11 critérios. Adicionalmente avaliamos o resultado em função da prioridade dada ao custo.Referências
Ding, J., Nemati, M., Ranaweera, C., and Choi, J. (2020). Iot connectivity technologies and applications: A survey. IEEE Access, 8:67646–67673.
Hwang, J. and Yoe, H. (2011). Study on the context-aware middleware for ubiquitous greenhouses using wireless sensor networks. Sensors, 11.
Kondratenko, Y., Kondratenko, G., and Sidenko, I. (2018). Multi-criteria decision making for selecting a rational iot platform. In 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT), pages 147–152.
Li, Y., Jha, D. N., Aujla, G. S., Morgan, G., Zomaya, A. Y., and Ranjan, R. (2020). Iotwc: Analytic hierarchy process based internet of things workflow composition system. In 2020 IEEE International Conference on Cloud Engineering (IC2E), pages 1–10.
Liang Zhou, Sheng-Ming Jiang, T. Y. (2021). A network selection scheme based on the analytic hierarchy process for marine internet. volume 2021, page 8.
Lin, L. (2019). Cost structure of iot connectivity services.
Ly, P. T. M., Lai, W.-H., Hsu, C.-W., and Shih, F.-Y. (2018). Fuzzy ahp analysis of internet of things (iot) in enterprises. Technological Forecasting and Social Change, 136:1–13.
Martinez, M. A. Q., González, G. A. L., Rios, M. D. G., and Vazquez, M. Y. L. (2020). Selection of lpwan technology for the adoption and efficient use of the iot in the rural areas of the province of guayas using ahp method. In International Conference on Applied Human Factors and Ergonomics, pages 497–503. Springer.
Mekki, K., Bajic, E., Chaxel, F., and Meyer, F. (2019). A comparative study of lpwan technologies for large-scale iot deployment. ICT Express, 5(1):1–7.
Ministério da Agricultura, P. e. A. (2021). Cenários e perspecitvas da conectividade para o agro. pages 1–74.
Mishra, A. (2017). Analytic hierarchy process solver. https://pyahp.gitbook.io/pyahp/. Accessed: 2021-02-19.
O., S., L., R., A., B., and G., M. (2021). 5g energy efficiency overview. European Scientific Journal, ESJ, 17(3).
Ray, B. (2017). Costs in iot: Lte-m vs. nb-iot vs. sigfox vs. lora. [Online; accessed: 2021-02-19].
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1):83–98.
Saaty, T. L. and Vargas, L. G. (2012). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, volume 175. Springer New York, NY. ISBN 0-84937375-1.
Silva, E. M., Agostinho, C., and Jardim-Goncalves, R. (2017). A multi-criteria decision model for the selection of a more suitable internet-of-things device. In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), pages 1268–1276.
Singla, C., Mahajan, N., Kaushal, S., Verma, A., and Sangaiah, A. K. (2018). Modelling and analysis of multi-objective service selection scheme in iot-cloud environment. In Cognitive computing for big data systems over IoT, pages 63–77. Springer.
Uslu, B., Eren, T., Gur, S., and Ozcan, E. (2019). Evaluation of the difficulties in the internet of things (iot) with multi-criteria decision-making. Processes, 7(3).
Vannieuwenborg, F., Verbrugge, S., and Colle, D. (2018). Choosing iot-connectivity? a guiding methodology based on functional characteristics and economic considerations. Transactions on Emerging Telecommunications Technologies, 29(5):e3308. e3308 ETT-17-0322.R1.
VK, Q., NV, H., DV, A., NM, Q., NT, B., S, L., G, R., and A., M. (2022). Iot-enabled smart agriculture: Architecture, applications, and challenges. Applied Sciences, 12.
Wang, J., Yeh, W., Xiong, N. N., Wang, J., He, X., and Huang, C. (2019). Building an improved internet of things smart sensor network based on a three-phase methodology. IEEE Access, 7:141728–141737.
Hwang, J. and Yoe, H. (2011). Study on the context-aware middleware for ubiquitous greenhouses using wireless sensor networks. Sensors, 11.
Kondratenko, Y., Kondratenko, G., and Sidenko, I. (2018). Multi-criteria decision making for selecting a rational iot platform. In 2018 IEEE 9th International Conference on Dependable Systems, Services and Technologies (DESSERT), pages 147–152.
Li, Y., Jha, D. N., Aujla, G. S., Morgan, G., Zomaya, A. Y., and Ranjan, R. (2020). Iotwc: Analytic hierarchy process based internet of things workflow composition system. In 2020 IEEE International Conference on Cloud Engineering (IC2E), pages 1–10.
Liang Zhou, Sheng-Ming Jiang, T. Y. (2021). A network selection scheme based on the analytic hierarchy process for marine internet. volume 2021, page 8.
Lin, L. (2019). Cost structure of iot connectivity services.
Ly, P. T. M., Lai, W.-H., Hsu, C.-W., and Shih, F.-Y. (2018). Fuzzy ahp analysis of internet of things (iot) in enterprises. Technological Forecasting and Social Change, 136:1–13.
Martinez, M. A. Q., González, G. A. L., Rios, M. D. G., and Vazquez, M. Y. L. (2020). Selection of lpwan technology for the adoption and efficient use of the iot in the rural areas of the province of guayas using ahp method. In International Conference on Applied Human Factors and Ergonomics, pages 497–503. Springer.
Mekki, K., Bajic, E., Chaxel, F., and Meyer, F. (2019). A comparative study of lpwan technologies for large-scale iot deployment. ICT Express, 5(1):1–7.
Ministério da Agricultura, P. e. A. (2021). Cenários e perspecitvas da conectividade para o agro. pages 1–74.
Mishra, A. (2017). Analytic hierarchy process solver. https://pyahp.gitbook.io/pyahp/. Accessed: 2021-02-19.
O., S., L., R., A., B., and G., M. (2021). 5g energy efficiency overview. European Scientific Journal, ESJ, 17(3).
Ray, B. (2017). Costs in iot: Lte-m vs. nb-iot vs. sigfox vs. lora. [Online; accessed: 2021-02-19].
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1):83–98.
Saaty, T. L. and Vargas, L. G. (2012). Models, Methods, Concepts & Applications of the Analytic Hierarchy Process, volume 175. Springer New York, NY. ISBN 0-84937375-1.
Silva, E. M., Agostinho, C., and Jardim-Goncalves, R. (2017). A multi-criteria decision model for the selection of a more suitable internet-of-things device. In 2017 International Conference on Engineering, Technology and Innovation (ICE/ITMC), pages 1268–1276.
Singla, C., Mahajan, N., Kaushal, S., Verma, A., and Sangaiah, A. K. (2018). Modelling and analysis of multi-objective service selection scheme in iot-cloud environment. In Cognitive computing for big data systems over IoT, pages 63–77. Springer.
Uslu, B., Eren, T., Gur, S., and Ozcan, E. (2019). Evaluation of the difficulties in the internet of things (iot) with multi-criteria decision-making. Processes, 7(3).
Vannieuwenborg, F., Verbrugge, S., and Colle, D. (2018). Choosing iot-connectivity? a guiding methodology based on functional characteristics and economic considerations. Transactions on Emerging Telecommunications Technologies, 29(5):e3308. e3308 ETT-17-0322.R1.
VK, Q., NV, H., DV, A., NM, Q., NT, B., S, L., G, R., and A., M. (2022). Iot-enabled smart agriculture: Architecture, applications, and challenges. Applied Sciences, 12.
Wang, J., Yeh, W., Xiong, N. N., Wang, J., He, X., and Huang, C. (2019). Building an improved internet of things smart sensor network based on a three-phase methodology. IEEE Access, 7:141728–141737.
Publicado
06/08/2023
Como Citar
COLARES, Hugo Terceiro; CÉSAR, Cecilia de Azevedo Castro.
Sistema de Seleção Multicritério de Tecnologia de Conexão da Fazenda Inteligente. In: WORKSHOP DE COMPUTAÇÃO APLICADA À GESTÃO DO MEIO AMBIENTE E RECURSOS NATURAIS (WCAMA), 14. , 2023, João Pessoa/PB.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2023
.
p. 101-110.
ISSN 2595-6124.
DOI: https://doi.org/10.5753/wcama.2023.230932.
